21.13.2 Medical Applications -- Lymph Nodes

Chapter Contents (Back)
Lymph Nodes. Cancer Detection. Tumor Detection. Medical, Applications.

Barbu, A., Suehling, M., Xu, X., Liu, D., Zhou, S.K., Comaniciu, D.,
Automatic Detection and Segmentation of Lymph Nodes From CT Data,
MedImg(31), No. 2, February 2012, pp. 240-250.
IEEE DOI 1202
BibRef

Song, Y., Cai, W.D., Kim, J., Feng, D.D.,
A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images,
MedImg(31), No. 5, May 2012, pp. 1061-1075.
IEEE DOI 1202
BibRef

Chang, C.Y.[Chuan-Yu], Lai, C.C.[Chih-Chin], Lai, C.T.[Cheng-Ting], Chen, S.J.[Shao-Jer],
Integrating PSONN and Boltzmann function for feature selection and classification of lymph nodes in ultrasound images,
JVCIR(24), No. 1, January 2013, pp. 23-30.
Elsevier DOI 1301
Lymph node; Ultrasound image; Feature selection; Classification; Support vector machine; Particle swarm optimization; Boltzmann function; Region of interest (ROI) BibRef

Fuerst, B., Sprung, J., Pinto, F., Frisch, B., Wendler, T., Simon, H., Mengus, L., van den Berg, N.S., van der Poel, H.G., van Leeuwen, F.W.B., Navab, N.,
First Robotic SPECT for Minimally Invasive Sentinel Lymph Node Mapping,
MedImg(35), No. 3, March 2016, pp. 830-838.
IEEE DOI 1603
Lymph nodes BibRef

Bándi, P., Geessink, O., Manson, Q., van Dijk, M., Balkenhol, M., Hermsen, M., Ehteshami Bejnordi, B., Lee, B., Paeng, K., Zhong, A., Li, Q., Zanjani, F.G., Zinger, S., Fukuta, K., Komura, D., Ovtcharov, V., Cheng, S., Zeng, S., Thagaard, J., Dahl, A.B., Lin, H., Chen, H., Jacobsson, L., Hedlund, M., Çetin, M., Halici, E., Jackson, H., Chen, R., Both, F., Franke, J., Küsters-Vandevelde, H., Vreuls, W., Bult, P., van Ginneken, B., van der Laak, J., Litjens, G.,
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge,
MedImg(38), No. 2, February 2019, pp. 550-560.
IEEE DOI 1902
Lymph nodes, Biomedical imaging, Tumors, Metastasis, Pathology, Hospitals, Breast cancer, sentinel lymph node, grand challenge BibRef

Ma, Y.R.[Ying-Ran], Peng, Y.J.[Yan-Jun],
Lymph node detection method based on multisource transfer learning and convolutional neural network,
IJIST(30), No. 2, 2020, pp. 298-310.
DOI Link 2005
convolutional neural network, lymph node detection, multisource transfer learning, point-wise convolutional operation BibRef

Peng, H.X.[Hai-Xin], Peng, Y.J.[Yin-Jun],
Spatio-temporal context based recurrent visual attention model for lymph node detection,
IJIST(30), No. 4, 2020, pp. 1220-1242.
DOI Link 2011
biomedical image classification, false-positive reduction, mixture density networks, recurrent visual attention BibRef

Zhang, Y.T.[Yong-Tao], Li, H.[Haimei], Du, J.[Jie], Qin, J.[Jing], Wang, T.F.[Tian-Fu], Chen, Y.[Yue], Liu, B.[Bing], Gao, W.W.[Wen-Wen], Ma, G.[Guolin], Lei, B.[Baiying],
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification,
MedImg(40), No. 6, June 2021, pp. 1618-1631.
IEEE DOI 2106
Image segmentation, Feature extraction, Tumors, Task analysis, Computed tomography, Metastasis, CT scans BibRef

Li, Y.[Yang], Dan, T.T.[Ting-Ting], Li, H.J.[Hao-Jiang], Chen, J.Z.[Jia-Zhou], Peng, H.[Hong], Liu, L.Z.[Li-Zhi], Cai, H.M.[Hong-Min],
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images,
MedImg(41), No. 7, July 2022, pp. 1639-1650.
IEEE DOI 2207
Tumors, Magnetic resonance imaging, Image segmentation, Lymph nodes, Feature extraction, Learning systems, Visualization, image segmentation BibRef

Wang, Z.H.[Zhi-Hua], Yu, L.[Lequan], Ding, X.[Xin], Liao, X.H.[Xue-Hong], Wang, L.S.[Lian-Sheng],
Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer,
MedImg(41), No. 10, October 2022, pp. 2777-2787.
IEEE DOI 2210
Transformers, Feature extraction, Lymph nodes, Metastasis, Image analysis, Thyroid, Task analysis, Whole slide image analysis, knowledge distillation BibRef

Zhu, Z.H.[Zhong-Hang], Yu, L.[Lequan], Wu, W.[Wei], Yu, R.S.[Rong-Shan], Zhang, D.[Defu], Wang, L.S.[Lian-Sheng],
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification,
MedImg(42), No. 5, May 2023, pp. 1337-1348.
IEEE DOI 2305
Feature extraction, Training, Task analysis, Semantics, Reinforcement learning, Computational modeling, reinforcement learning BibRef

Zhang, Y.[Yi], Li, J.[Jiayue], Li, X.Y.[Xin-Yang], Xie, M.[Min], Islam, M.T.[Md. Tauhidul], Zhang, H.X.[Hai-Xian],
FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection With Online Candidate Tuning,
MedImg(43), No. 3, March 2024, pp. 1180-1190.
IEEE DOI 2403
Feature extraction, Computed tomography, Tuning, Detectors, Lymph nodes, Crops, Pelvic lymph node detection, training anchor selection BibRef


Gravina, M.[Michela], Cordelli, E.[Ermanno], Santucci, D.[Domiziana], Soda, P.[Paolo], Sansone, C.[Carlo],
Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer,
ICPR22(4335-4342)
IEEE DOI 2212
Imaging, Morphology, Breast cancer, Physiology, Metastasis, Lesions BibRef

Farfan Cabrera, D.L., Gogin, N., Morland, D., Naegel, B., Papathanassiou, D., Passat, N.,
Segmentation of Axillary and Supraclavicular Tumoral Lymph Nodes in PET/CT: A Hybrid CNN/Component-Tree Approach,
ICPR21(6672-6679)
IEEE DOI 2105
Image segmentation, Pathology, Shape, Computed tomography, Breast cancer, Topology, Segmentation, CNN, U-Net, lymph nodes BibRef

Zhao, Y., Yang, F., Fang, Y., Liu, H., Zhou, N., Zhang, J., Sun, J., Yang, S., Menze, B., Fan, X., Yao, J.,
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution,
CVPR20(4836-4845)
IEEE DOI 2008
Feature extraction, Generative adversarial networks, Lymph nodes, Metastasis, Task analysis BibRef

Gerard, G.[Gianluca], Piastra, M.[Marco],
Slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation,
NTIAP19(220-227).
Springer DOI 1909
BibRef

Pham, T.D.,
Complementary features for radiomic analysis of malignant and benign mediastinal lymph nodes,
ICIP17(3849-3853)
IEEE DOI 1803
cancer, cellular biophysics, computerised tomography, feature extraction, lung, medical image processing, tumours, texture BibRef

Villamarín, J.A.[Julian A.], Montilla, D.A.[Daniela A.], Potosi, O.M.[Olga M.], Londoño, L.F.[Luis F.], Muñoz, F.G.[Fabian G.], Gutierrez, E.W.[Edgar W.],
Ultrasonic Backscatter Signal Processing Technique for the Characterization of Animal Lymph Node,
CIARP17(702-709).
Springer DOI 1802
BibRef

Jones, J.L.[Jonathan-Lee], Xie, X.H.[Xiang-Hua],
Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images,
ICIAR16(198-205).
Springer DOI 1608
BibRef

Feulner, J.[Johannes], Zhou, S.K.[S. Kevin], Hammon, M.[Matthias], Hornegger, J.[Joachim], Comaniciu, D.[Dorin],
Segmentation Based Features for Lymph Node Detection from 3-D Chest CT,
MLMI11(91-99).
Springer DOI 1109
BibRef

Feulner, J.[Johannes], Zhou, S.K.[S. Kevin], Huber, M.[Martin], Hornegger, J.[Joachim], Comaniciu, D.[Dorin], Cavallaro, A.[Alexander],
Lymph node detection in 3-D chest CT using a spatial prior probability,
CVPR10(2926-2932).
IEEE DOI 1006
BibRef

Wang, Y.[Yao], Beichel, R.[Reinhard],
Graph-Based Segmentation of Lymph Nodes in CT Data,
ISVC10(II: 312-321).
Springer DOI 1011
BibRef

Panagiotakis, C.[Costas], Ramasso, E.[Emmanuel], Tziritas, G.[Georgios],
Lymphocyte Segmentation Using the Transferable Belief Model,
ICPR-Contests10(253-262).
Springer DOI 1008
BibRef

Unal, G., Slabaugh, G.G., Ess, A., Yezzi, A.J., Fang, T., Tyan, J., Requardt, M., Krieg, R., Seethamraju, R., Harisinghani, M., Weissleder, R.,
Semi-Automatic Lymph Node Segmentation in LN-MRI,
ICIP06(77-80).
IEEE DOI 0610
BibRef

Gurevich, I., Murashov, D.,
Method for early diagnostics of lymphatic system tumors on the basis of the analysis of chromatin constitution in cell nucleus images,
ICPR04(III: 806-809).
IEEE DOI 0409
BibRef

Gurevich, I.[Igor], Kharazishvili, D.[Dmitry], Jernova, I.[Irina], Khilkov, A.[Andrei], Nefyodov, A.V.[Alexey V.], Vorobjev, I.[Ivan],
Information Technology for the Morphological Analysis of the Lymphoid Cell Nuclei,
SCIA03(541-548).
Springer DOI 0310
BibRef

Olivieri, D.N., Vega, F.,
Image Prototype Similarity Matching for Lymph Node Hemopathology,
ICPR00(Vol II: 279-282).
IEEE DOI 0009
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Prostate Cancer Analysis .


Last update:Mar 16, 2024 at 20:36:19