20.4.3.3.12 Medical Image Database Retrieval, Medicine

Chapter Contents (Back)
Image Database. Medical CBIR.

Shyu, C.R.[Chi-Ren], Brodley, C.E.[Carla E.], Kak, A.C.[Avinash C.], Kosaka, A.[Akio], Aisen, A.M.[Alex M.], Broderick, L.S.[Lynn S.],
ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases,
CVIU(75), No. 1/2, July-August 1999, pp. 111-132.
DOI Link BibRef 9907

Shyu, C.R.[Chi-Ren], Pavlopoulou, C.[Christina], Kak, A.C.[Avinash C.], Brodley, C.E.[Carla E.], Broderick, L.S.[Lynn S.],
Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database,
CVIU(88), No. 3, December 2002, pp. 119-151.
DOI Link 0301
BibRef
Earlier: A1, A3, A4, A5, Only:
Testing for Human Perceptual Categories in a Physician-in-the-Loop CBIR System for Medical Imagery,
CBAIVL99(xx-yy). BibRef

Pavlopoulou, C.[Christina], Kak, A.C.[Avi C.], Brodley, C.E.[Carla E.],
An Interactive Framework for Boundary Delineation for Medical CBIR,
CBAIVL01(9).
IEEE DOI 0110
BibRef

Kak, A.C., Pavlopoulou, C.,
Content-based image retrieval from large medical databases,
3DPVT02(138-147).
IEEE DOI 0206

See also Globally Optimal Interactive Boundary Extraction Using Markov Chain Modeling. BibRef

Harnsomburana, J., Shyu, C.R.[Chi-Ren],
A hybrid tree approach for efficient image database retrieval with dynamic feedback,
ICPR02(I: 263-266).
IEEE DOI 0211
BibRef

Shyu, C.R.[Chi-Ren], Brodley, C.E.[Carla E.], Kak, A.C.[Avinash C.], Kosaka, A., Aisen, A., Broderick, L.S.[Lynn S.],
Local versus global features for content-based image retrieval,
CBAIVL98(30-34).
IEEE Top Reference. 0208
BibRef

MacArthur, S.D.[Sean D.], Brodley, C.E.[Carla E.], Kak, A.C.[Avinash C.], Broderick, L.S.[Lynn S.],
Interactive Content-Based Image Retrieval Using Relevance Feedback,
CVIU(88), No. 2, November 2002, pp. 55-75.
DOI Link 0301
BibRef

MacArthur, S.D., Brodley, C.E., Shyu, C.R.[Chi-Ren],
Relevance feedback decision trees in content-based image retrieval,
CBAIVL00(68-72). 0008
BibRef

Pham, T.D.[Tuan D.],
Spectral distortion measures for biological sequence comparisons and database searching,
PR(40), No. 2, February 2007, pp. 516-529.
Elsevier DOI 0611
Distortion measures; DNA sequences; Protein sequences; Bioinformatics BibRef

Pham, T.D.[Tuan D.],
GeoEntropy: A measure of complexity and similarity,
PR(43), No. 3, March 2010, pp. 887-896.
Elsevier DOI 1001
Complexity; Similarity; Entropy; Geostatistics; Prediction; Classification BibRef

Lacoste, C., Lim, J.H., Chevallet, J.P., Le, D.T.H.,
Medical-Image Retrieval Based on Knowledge-Assisted Text and Image Indexing,
CirSysVideo(17), No. 7, July 2007, pp. 889-900.
IEEE DOI 0707
BibRef

Springmann, M.[Michael], Dander, A.[Andreas], Schuldt, H.[Heiko],
Improving efficiency and effectiveness of the image distortion model,
PRL(29), No. 15, 1 November 2008, pp. 2018-2024.
Elsevier DOI 0811
Content-based image retrieval; Medical image retrieval; Image distortion model; Algorithmic optimization BibRef

Guld, M.O.[Mark O.], Thies, C.[Christian], Fischer, B.[Benedikt], Deserno, T.M.[Thomas M.],
A framework and baseline results for the CLEF medical automatic annotation task,
PRL(29), No. 15, 1 November 2008, pp. 2025-2031.
Elsevier DOI 0811
Medical image retrieval; Content-based image retrieval system; Classifier combination; Image processing; Image database BibRef

Kalpathy-Cramer, J.[Jayashree], Hersh, W.[William],
Effectiveness of global features for automatic medical image classification and retrieval: The experiences of OHSU at ImageCLEFmed,
PRL(29), No. 15, 1 November 2008, pp. 2032-2038.
Elsevier DOI 0811
Automatic image annotation; Medical images; Benchmark; Image classification; Neural networks BibRef

Sedghi, S.[Shahram], Sanderson, M.[Mark], Clough, P.[Paul],
A study on the relevance criteria for medical images,
PRL(29), No. 15, 1 November 2008, pp. 2046-2057.
Elsevier DOI 0811
Relevance criteria; Relevance judgment; Image retrieval; Medical imaging BibRef

Zhou, X.[Xin], Depeursinge, A.[Adrien], Muller, H.[Henning],
Hierarchical classification using a frequency-based weighting and simple visual features,
PRL(29), No. 15, 1 November 2008, pp. 2011-2017.
Elsevier DOI 0811
Image retrieval; Hierarchical image classification; Automatic annotation; Medical imaging BibRef

Setia, L.[Lokesh], Teynor, A.[Alexandra], Halawani, A.[Alaa], Burkhardt, H.[Hans],
Grayscale medical image annotation using local relational features,
PRL(29), No. 15, 1 November 2008, pp. 2039-2045.
Elsevier DOI 0811
Image annotation; Local relational features; Medical images; ImageCLEF; Hierarchical classification BibRef

Teynor, A.[Alexandra], Rahtu, E.[Esa], Setia, L.[Lokesh], Burkhardt, H.[Hans],
Properties of Patch Based Approaches for the Recognition of Visual Object Classes,
DAGM06(284-293).
Springer DOI 0610
BibRef

Setia, L.[Lokesh], Burkhardt, H.[Hans],
Feature Selection for Automatic Image Annotation,
DAGM06(294-303).
Springer DOI 0610
BibRef

Halawani, A.[Alaa], Tamimi, H.[Hashem], Burkhardt, H.[Hans], Zell, A.[Andreas],
Using Local Integral Invariants for Object Recognition in Complex Scenes,
ICIAR06(II: 1-12).
Springer DOI 0610
BibRef

Halawani, A.[Alaa], Burkhardt, H.[Hans],
Image retrieval by local evaluation of nonlinear kernel functions around salient points,
ICPR04(II: 955-960).
IEEE DOI 0409
BibRef

Halawani, A.[Alaa], Tamimi, H.[Hashem],
Retrieving Objects Using Local Integral Invariants,
CIVR06(251-260).
Springer DOI 0607
BibRef

Han, D., Liu, Q., Luo, Q.,
China Physiome Project: A Comprehensive Framework for Anatomical and Physiological Databases From the China Digital Human and the Visible Rat,
PIEEE(97), No. 12, December 2009, pp. 1969-1976.
IEEE DOI 0912
BibRef

Yang, L.[Liu], Jin, R.[Rong], Mummert, L.[Lily], Sukthankar, R.[Rahul], Goode, A.[Adam], Zheng, B.[Bin], Hoi, S.C.H.[Steven C.H.], Satyanarayanan, M.[Mahadev],
A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval,
PAMI(32), No. 1, January 2010, pp. 30-44.
IEEE DOI 0912
Database, Medical. Similarity: issue of does it mean visual appearance or semantic annotation. Retrieve visually similar, but semantically relevant for the medical query. BibRef

Lee, J.E.[Jung-Eun], Jin, R.[Rong], Jain, A.K.[Anil K.],
Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval,
ICPR10(3902-3906).
IEEE DOI 1008
BibRef
Earlier:
Rank-based distance metric learning: An application to image retrieval,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Backes, A.R.[André R.], Bruno, O.M.[Odemir M.],
Medical Image Retrieval Based on Complexity Analysis,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI 1003

See also Shape Skeleton Classification Using Graph and Multi-scale Fractal Dimension. BibRef

Dimitrovski, I.[Ivica], Kocev, D.[Dragi], Loskovska, S.[Suzana], Džeroski, S.[Sašo],
Hierarchical annotation of medical images,
PR(44), No. 10-11, October-November 2011, pp. 2436-2449.
Elsevier DOI 1101
BibRef
Earlier:
Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification,
ICPR-Contests10(152-161).
Springer DOI 1008
Automatic image annotation; Hierarchical multi-label classification; Predictive clustering trees; Feature extraction from images BibRef

Dimitrovski, I.[Ivica], Loskovska, S.[Suzana],
Content-Based Retrieval System for X-Ray Images,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wang, J.Y.[Jing-Yan], Li, Y.P.[Yong-Ping], Zhang, Y.[Ying], Wang, C.[Chao], Xie, H.L.[Hong-Lan], Chen, G., Gao, X.,
Bag-of-Features Based Medical Image Retrieval via Multiple Assignment and Visual Words Weighting,
MedImg(30), No. 11, November 2011, pp. 1996-2011.
IEEE DOI 1111
BibRef
Earlier: A1, A2, A3, A5, A4, Only:
Boosted Learning of Visual Word Weighting Factors for Bag-of-Features Based Medical Image Retrieval,
ICIG11(1035-1040).
IEEE DOI 1109
BibRef

Zare, M.R.[Mohammad Reza], Mueen, A.[Ahmed], Seng, W.C.[Woo Chaw],
Automatic classification of medical X-ray images using a bag of visual words,
IET-CV(7), No. 2, 2013, pp. 105-114.
DOI Link 1307
BibRef

Zare, M.R., Mueen, A., Awedh, M., Seng, W.C.,
Automatic classification of medical X-ray images: hybrid generative-discriminative approach,
IET-IPR(7), No. 5, 2013, pp. 523-532.
DOI Link 1310
BibRef

Lee, S.L.[Sheng Long], Zare, M.R.[Mohammad Reza],
Biomedical compound figure detection using deep learning and fusion techniques,
IET-IPR(12), No. 6, June 2018, pp. 1031-1037.
DOI Link 1805
BibRef

Lee, S.L.[Sheng Long], Zare, M.R.[Mohammad Reza], Muller, H.[Henning],
Late fusion of deep learning and handcrafted visual features for biomedical image modality classification,
IET-IPR(13), No. 2, February 2019, pp. 382-391.
DOI Link 1902
BibRef

Quellec, G., Lamard, M., Cazuguel, G., Roux, C., Cochener, B.,
Case Retrieval in Medical Databases by Fusing Heterogeneous Information,
MedImg(30), No. 1, January 2011, pp. 108-118.
IEEE DOI 1101
BibRef

Huang, Y.G.[Yong-Gang], Ma, D.F.[Dian-Fu], Zhang, J.[Jun], Zhao, Y.W.[Yong-Wang],
QDFA: Query-Dependent Feature Aggregation for Medical Image Retrieval,
IEICE(E95-D), No. 1, January 2012, pp. 275-279.
WWW Link. 1201
BibRef

Huang, Y.G.[Yong-Gang], Zhang, J.[Jun], Zhao, Y.W.[Yong-Wang], Ma, D.F.[Dian-Fu],
A New Re-Ranking Method Using Enhanced Pseudo-Relevance Feedback for Content-Based Medical Image Retrieval,
IEICE(E95-D), No. 2, February 2012, pp. 694-698.
WWW Link. 1202
BibRef

Ayyachamy, S.[Swarnambiga], Manivannan, V.S.[Vasuki S.],
Distance measures for medical image retrieval,
IJIST(23), No. 1, March 2013, pp. 9-21.
DOI Link 1303
BibRef

Ayyachamy, S.[Swarnambiga], Manivannan, V.S.[Vasuki S.],
Medical image registration-based retrieval using distance metrics,
IJIST(23), No. 4, 2013, pp. 360-371.
DOI Link 1312
registration BibRef

Seetharaman, K., Kamarasan, M.,
Statistical framework for content-based medical image retrieval based on wavelet orthogonal polynomial model with multiresolution structure,
MultInfoRetr(3), No. 1, March 2014, pp. 53-66.
WWW Link. 1403
BibRef

Seetharaman, K., Jeyakarthic, M.,
Statistical distributional approach for scale and rotation invariant color image retrieval using multivariate parametric tests and orthogonality condition,
JVCIR(25), No. 5, 2014, pp. 727-739.
Elsevier DOI 1406
Variance-Covariance BibRef

Müller, H., Unay, D.,
Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review,
MultMed(19), No. 9, September 2017, pp. 2093-2104.
IEEE DOI 1708
Machine learning, Medical diagnostic imaging, Multimedia communication, Tools, Visualization, Big data, content-based image retrieval, deep learning, large scale datasets, medical images, multi-modality BibRef

Li, W.B.[Wen-Bo], Pan, H.W.[Hai-Wei], Li, P.Y.[Peng-Yuan], Xie, X.Q.[Xiao-Qin], Zhang, Z.Q.[Zhi-Qiang],
A medical image retrieval method based on texture block coding tree,
SP:IC(59), No. 1, 2017, pp. 131-139.
Elsevier DOI 1711
Content-based image retrieval (CBIR) BibRef

Das, P.[Pranjit], Neelima, A.[Arambam],
An overview of approaches for content-based medical image retrieval,
MultInfoRetr(6), No. 4, December 2017, pp. 271-280.
Springer DOI 1712
Survey, Medical CBIR. BibRef

Shinde, A.A.[Amita A.], Rahulkar, A.D.[Amol D.], Patil, C.Y.[Chetankumar Y.],
Fast discrete curvelet transform-based anisotropic feature extraction for biomedical image indexing and retrieval,
MultInfoRetr(6), No. 4, December 2017, pp. 281-288.
Springer DOI 1712
Discrete curvelet transform-based anisotropic feature extraction. MRI, emphysema-CT. BibRef

Kumar, M.[Manoj], Singh, K.M.[K. Manglem],
Retrieval of head-neck medical images using Gabor filter based on power-law transformation method and rank BHMT,
SIViP(12), No. 5, July 2018, pp. 827-833.
Springer DOI 1806
BibRef

Nejad, E.M.[Elaheh Mahraban], Affendey, L.S.[Lilly Suriani], Latip, R.B.[Rohaya Binti], Bin Ishak, I.[Iskandar], Banaeeyan, R.[Rasoul],
Transferred Semantic Scores for Scalable Retrieval of Histopathological Breast Cancer Images,
MultInfoRetr(8), No. 4, November 2018, pp. 241-249.
Springer DOI 1812
BibRef

Wang, Y.[Ye], Huang, L.[Lan], Guo, S.Y.[Shu-Yu], Gong, L.G.[Lei-Guang], Bai, T.[Tian],
A novel MEDLINE topic indexing method using image presentation,
JVCIR(58), 2019, pp. 130-137.
Elsevier DOI 1901
MEDLINE, Data visualization, Customized retrieval, Image presentation BibRef

Mandal, M.[Murari], Chaudhary, M.[Mallika], Vipparthi, S.K.[Santosh Kumar], Murala, S.[Subrahmanyam], Gonde, A.B.[Anil Balaji], Nagar, S.K.[Shyam Krishna],
ANTIC: Antithetic isomeric cluster patterns for medical image retrieval and change detection,
IET-CV(13), No. 1, February 2019, pp. 31-43.
DOI Link 1902
BibRef

Mohite, N.[Nilima], Waghmare, L.[Laxman], Gonde, A.[Anil], Vipparthi, S.K.[Santosh Kumar],
3D local circular difference patterns for biomedical image retrieval,
MultInfoRetr(8), No. 2, June 2019, pp. 115-125.
Springer DOI 1906
BibRef

Srivastava, V.[Varun], Purwar, R.K.[Ravindra K.], Jain, A.[Anchal],
A dynamic threshold-based local mesh ternary pattern technique for biomedical image retrieval,
IJIST(29), No. 2, June 2019, pp. 168-179.
WWW Link. 1906
BibRef

Biswas, R.[Ranjit], Roy, S.[Sudipta], Purkayastha, D.[Debraj],
An efficient content-based medical image indexing and retrieval using local texture feature descriptors,
MultInfoRetr(8), No. 4, December 2019, pp. 217-231.
Springer DOI 1912
BibRef

Shinde, A.[Amita], Rahulkar, A.[Amol], Patil, C.[Chetankumar],
New flexible directional filter bank by tuning Hermite transform parameters for content based medical image retrieval,
IET-IPR(14), No. 11, September 2020, pp. 2403-2416.
DOI Link 2009
BibRef

Vu, M.H., Löfstedt, T., Nyholm, T., Sznitman, R.,
A Question-Centric Model for Visual Question Answering in Medical Imaging,
MedImg(39), No. 9, September 2020, pp. 2856-2868.
IEEE DOI 2009
Feature extraction, Visualization, Predictive models, Knowledge discovery, Task analysis, Medical diagnostic imaging, medical questions and answers BibRef

Darapureddy, N.[Nagadevi], Karatapu, N.[Nagaprakash], Battula, T.K.[Tirumula Krishna],
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization,
IJIST(31), No. 2, 2021, pp. 828-853.
DOI Link 2105
content-based medical image retrieval, improved local leader-based spider monkey optimization, optimal weighted hybrid pattern BibRef

Al-Sadi, A.[Aisha], Al-Ayyoub, M.[Mahmoud], Jararweh, Y.[Yaser], Costen, F.[Fumie],
Visual question answering in the medical domain based on deep learning approaches: A comprehensive study,
PRL(150), 2021, pp. 57-75.
Elsevier DOI 2109
Medical visual question answering, Planes questions, Organ systems questions, Modality questions, Ensemble BibRef

Zhang, Z.Z.[Zi-Zhao], Chen, P.J.[Ping-Jun], Shi, X.S.[Xiao-Shuang], Yang, L.[Lin],
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine,
PAMI(43), No. 5, May 2021, pp. 1733-1745.
IEEE DOI 2104
Guidance from associated text. Visualization, Training, Semantics, Medical diagnostic imaging, Neural networks, Task analysis, Multimodal neural networks, medical images BibRef

Gong, H.F.[Hai-Fan], Chen, G.Q.[Guan-Qi], Mao, M.Z.[Ming-Zhi], Li, Z.[Zhen], Li, G.B.[Guan-Bin],
VQAMix: Conditional Triplet Mixup for Medical Visual Question Answering,
MedImg(41), No. 11, November 2022, pp. 3332-3343.
IEEE DOI 2211
Visualization, Feature extraction, Medical diagnostic imaging, Task analysis, Training, Linguistics, Data models, data augmentation BibRef

Cong, F.[Fuze], Xu, S.B.[Shi-Biao], Guo, L.[Li], Tian, Y.B.[Yin-Bing],
Anomaly Matters: An Anomaly-Oriented Model for Medical Visual Question Answering,
MedImg(41), No. 11, November 2022, pp. 3385-3397.
IEEE DOI 2211
Visualization, Medical diagnostic imaging, Feature extraction, Transformers, Question answering (information retrieval), weakly supervised anomaly localization BibRef

Kumar, M.[Mehul], Singh, R.[Rhythumwinder], Mukherjee, P.[Prerana],
VTHSC-MIR: Vision Transformer Hashing with Supervised Contrastive learning based medical image retrieval,
PRL(184), 2024, pp. 28-36.
Elsevier DOI 2408
Medical image retrieval, Transformer, Hashing, Contrastive learning BibRef

Vagena, Z.[Zografoula], Wei, X.Y.[Xiao-Yang], Kurtz, C.[Camille], Cloppet, F.[Florence],
Semantic aware representation learning for optimizing image retrieval systems in radiology,
PR(158), 2025, pp. 111060.
Elsevier DOI 2411
Image retrieval, Representation learning, Knowledge graphs, Semantics, Radiology BibRef

Sérieys, G.[Guillaume], Kurtz, C.[Camille], Fournier, L.[Laure], Cloppet, F.[Florence],
Text-guided visual representation learning for medical image retrieval systems,
ICPR22(593-598)
IEEE DOI 2212
Representation learning, Learning systems, Visualization, Adaptation models, Image retrieval, Semantics, Feature extraction BibRef


Tang, Y.[Yibo], Chen, Y.X.[Ya-Xiong], Xiong, S.W.[Sheng-Wu],
Deep Semantic Ranking Hashing Based on Self-Attention for Medical Image Retrieval,
ICPR22(4960-4966)
IEEE DOI 2212
Codes, Semantics, Image retrieval, Data processing, Lesions, Biomedical imaging BibRef

Hu, B.[Brian], Vasu, B.[Bhavan], Hoogs, A.[Anthony],
X-MIR: EXplainable Medical Image Retrieval,
WACV22(1544-1554)
IEEE DOI 2202
COVID-19, Measurement, Image retrieval, Medical services, Machine learning, Skin, Explainable AI, Fairness, Privacy and Ethics in Vision, Medical Imaging/Imaging for Bioinformatics/Biological and Cell Microscopy BibRef

Putzu, L.[Lorenzo], Loddo, A.[Andrea], di Ruberto, C.[Cecilia],
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval,
CAIP21(I:287-297).
Springer DOI 2112
BibRef

Melekhov, I.[Iaroslav], Laskar, Z.[Zakaria], Li, X.T.[Xiao-Tian], Wang, S.Z.[Shu-Zhe], Kannala, J.H.[Ju-Ho],
Digging Into Self-Supervised Learning of Feature Descriptors,
3DV21(1144-1155)
IEEE DOI 2201
Location awareness, Visualization, Image color analysis, Image retrieval, Lighting, Benchmark testing BibRef

Melekhov, I.[Iaroslav], Kannala, J.H.[Ju-Ho], Rahtu, E.[Esa],
Siamese network features for image matching,
ICPR16(378-383)
IEEE DOI 1705
BibRef
Earlier:
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance,
DeepVisual16(III: 638-653).
Springer DOI 1704
Euclidean distance, Image matching, Image retrieval, Network architecture, Neural networks, Training BibRef

Kocaman, V.[Veysel], Talby, D.[David],
Biomedical Named Entity Recognition at Scale,
CADL20(635-646).
Springer DOI 2103
Natural language processing task and building block of question answering. BibRef

Wang, X.K.[Xue-Kuan], Zhao, C.R.[Cai-Rong], Miao, D.Q.[Duo-Qian], Liu, C.J.[Cui-Jun], Chen, Y.P.[Yi-Peng], Lai, Z.H.[Zhi-Hui],
Mutli-channel micro-structure difference descriptor for image retrieval,
ICPR16(2930-2935)
IEEE DOI 1705
Color, Computed tomography, Encoding, Feature extraction, Histograms, Image color analysis, Image retrieval, MAX operator, image retrieval, multi-channel, micro-structure, difference, descriptor BibRef

Chowdhury, M., Bulò, S.R., Moreno, R., Kundu, M.K., Smedby, Ö.,
An efficient radiographic Image Retrieval system using Convolutional Neural Network,
ICPR16(3134-3139)
IEEE DOI 1705
Histograms, Image edge detection, Image retrieval, Medical diagnostic imaging, Principal component analysis, Radiography BibRef

Sharma, S., Umar, I., Ospina, L., Wong, D., Tizhoosh, H.R.,
Stacked Autoencoders for Medical Image Search,
ISVC16(I: 45-54).
Springer DOI 1701
BibRef

Kalemi, E.[Edlira], Martiri, E.[Edlira], Manaj, B.[Brunela], Prifti, D.[Dionis],
DicomPrint, an Application for Managing DICOM Images,
ISCA15(177-184).
Springer DOI 1511
BibRef

Al-Qahtani, M., Amira, A., Ramzan, N.,
An efficient information retrieval technique for e-health systems,
WSSIP15(257-260)
IEEE DOI 1603
electronic health records BibRef

Yan, K., Wang, X., Lu, L., Zhang, L., Harrison, A.P., Bagheri, M., Summers, R.M.,
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database,
CVPR18(9261-9270)
IEEE DOI 1812
Lesions, Picture archiving and communication systems, Computed tomography, Biomedical imaging, Training, Radiology, Lung BibRef

Shin, H.C.[Hoo-Chang], Lu, L.[Le], Kim, L.[Lauren], Seff, A.[Ari], Yao, J.H.[Jian-Hua], Summers, R.M.[Ronald M.],
Interleaved text/image Deep Mining on a large-scale radiology database,
CVPR15(1090-1099)
IEEE DOI 1510
BibRef

Hofmanninger, J.[Johannes], Langs, G.[Georg],
Mapping visual features to semantic profiles for retrieval in medical imaging,
CVPR15(457-465)
IEEE DOI 1510
BibRef

Pedrosa, G.V.[Glauco V.], Rahman, M.M.[M. Mahmudur], Antani, S.K.[Sameer K.], Demner-Fushman, D.[Dina], Long, L.R.[L. Rodney], Traina, A.J.M.[Agma J.M.],
Integrating visual words as bunch of n-grams for effective biomedical image classification,
WACV14(431-436)
IEEE DOI 1406
Accuracy BibRef

Kurtz, C.[Camille], Depeursinge, A.[Adrien], Beaulieu, C.F.[Christopher F.], Rubin, D.L.[Daniel L.],
A semantic framework for the retrieval of similar radiological images based on medical annotations,
ICIP14(2241-2245)
IEEE DOI 1502
Biomedical imaging BibRef

Barroso, R.F.[Rodrigo F.], Ponciano-Silva, M.[Marcelo], Machado Traina, A.J.[Agma Juci], Bueno, R.[Renato],
Using Boundary Conditions for Combining Multiple Descriptors in Similarity Based Queries,
CIARP13(I:375-382).
Springer DOI 1311
BibRef

Felipe, J.C.[Joaquim Cezar], Machado Traina, A.J.[Agma Juci], Traina, C.[Caetano],
Perceptual Distance Functions for Similarity Retrieval of Medical Images,
CIVR06(432-442).
Springer DOI 0607
BibRef

di Ruberto, C.[Cecilia], Fodde, G.[Giuseppe],
Evaluation of Statistical Features for Medical Image Retrieval,
CIAP13(I:552-561).
Springer DOI 1311
BibRef

Wang, X.[Xiang], Wang, F.[Fei], Hu, J.Y.[Jian-Ying],
A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery,
ICPR14(220-225)
IEEE DOI 1412
Databases BibRef

Markonis, D.[Dimitrios], Donner, R.[René], Holzer, M.[Markus], Schlegl, T.[Thomas], Dungs, S.[Sebastian], Kriewel, S.[Sascha], Langs, G.[Georg], Müller, H.[Henning],
A Visual Information Retrieval System for Radiology Reports and the Medical Literature,
MMMod14(II: 390-393).
Springer DOI 1405
BibRef

Yu, X.[Xiang], Zhang, S.T.[Shao-Ting], Liu, B.[Bo], Zhong, L.[Lin], Metaxas, D.N.[Dimitris N.],
Large Scale Medical Image Search via Unsupervised PCA Hashing,
BDCV13(393-398)
IEEE DOI 1309
Large scale; PCA hashing; medical image retrieval BibRef

Kuang, Z.H.[Zhang-Hui], Sun, J.[Jian], Wong, K.Y.K.[Kwan-Yee K.],
Learning Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval,
BDCV13(413-420)
IEEE DOI 1309
Angular Regularization; Bilinear Similarities; Image Retrieval BibRef

Raval, N.[Nisarg], Tonge, R.V.[Rashmi Vilas], Jawahar, C.V.,
Image Retrieval Using Eigen Queries,
ACCV12(II:461-474).
Springer DOI 1304
Decompose query into known queries. BibRef

Rahman, M.M.[M. Mahmudur], Antani, S.K.[Sameer K.], Thoma, G.R.[George R.],
Local concept-based medical image retrieval with correlation-enhanced similarity matching based on global analysis,
MMBIA10(87-94).
IEEE DOI 1006
BibRef

Rahman, M.M.[M. Mahmudur], Bhattacharya, P.[Prabir],
Image retrieval with automatic query expansion based on local analysis in a semantical concept feature space,
CIVR09(Article No 20).
DOI Link 0907
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Vijay, A.[Ashok], Bhattacharya, M.[Mahua],
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Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Interactive Retrieval, Browsing Based Retrieval .


Last update:Nov 26, 2024 at 16:40:19