20.4.2.3 Histopathology, Tissue Analysis

Chapter Contents (Back)

Gurcan, M.N.[Metin N.], Boucheron, L.[Laura], Can, A.[Ali], Madabhushi, A.[Anant], Rajpoot, N.[Nasir], Yener, B.[Bulent],
Histopathological Image Analysis: A Review,
RevBiomedEng(2), 2009, pp. 147-171.
IEEE DOI
WWW Link. Survey, Histopathology. BibRef 0900

Brenner, J.F.[John F.], Lester, J.M.[James M.], Selles, W.D.[William D.],
Scene Segmentation in Automated Histopathology: Techniques Evolved from Cytology Automation,
PR(13), No. 1, 1981, pp. 65-77.
WWW Link. 0309
BibRef

Sertel, O., Kong, J., Shimada, H., Catalyurek, U.V., Saltz, J.H., Gurcan, M.N.,
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development,
PR(42), No. 6, June 2009, pp. 1093-1103.
Elsevier DOI 0902
Whole-slide histopathological image analysis; Texture analysis; Neuroblastoma BibRef

Kong, J.[Jun], Sertel, O.[Olcay], Shimada, H.[Hiroyuki], Boyer, K.L.[Kim L.], Saltz, J.[Joel], Gurcan, M.N.[Metin N.],
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation,
PR(42), No. 6, June 2009, pp. 1080-1092.
Elsevier DOI 0902
BibRef
Earlier:
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach,
ICIP07(V: 525-528).
IEEE DOI 0709
Quantitative image analysis; Microscopy images; Neuroblastoma prognosis; Grade of differentiation; Multi-resolution pathological image analysis; Machine learning BibRef

Dundar, M.M.[M. Murat], Badve, S.I.[Sun-Il], Raykar, V.C.[Vikas C.], Jain, R.K.[Rohit K.], Sertel, O.[Olcay], Gurcan, M.N.[Metin N.],
A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides,
ICPR10(2732-2735).
IEEE DOI 1008
BibRef

Kong, H., Gurcan, M., Belkacem-Boussaid, K.,
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting,
MedImg(30), No. 9, September 2011, pp. 1661-1677.
IEEE DOI 1109
BibRef

Ali, S., Madabhushi, A.,
An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery,
MedImg(31), No. 7, July 2012, pp. 1448-1460.
IEEE DOI 1208
BibRef

Srinivas, U., Mousavi, H.S., Monga, V., Hattel, A., Jayarao, B.,
Simultaneous Sparsity Model for Histopathological Image Representation and Classification,
MedImg(33), No. 5, May 2014, pp. 1163-1179.
IEEE DOI 1405
Biomedical image processing BibRef

Vu, T.H., Mousavi, H.S., Monga, V., Rao, G., Rao, U.K.A.,
Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning,
MedImg(35), No. 3, March 2016, pp. 738-751.
IEEE DOI 1603
Biomedical imaging BibRef

Su, H., Xing, F., Yang, L.,
Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection,
MedImg(35), No. 6, June 2016, pp. 1575-1586.
IEEE DOI 1606
Dictionaries BibRef

Ibragimov, B., Korez, R., Likar, B., Pernuš, F., Xing, L., Vrtovec, T.,
Segmentation of Pathological Structures by Landmark-Assisted Deformable Models,
MedImg(36), No. 7, July 2017, pp. 1457-1469.
IEEE DOI 1707
Computational modeling, Deformable models, Image edge detection, Image segmentation, Laplace equations, Pathology, Shape, Laplacian mesh editing, corpus callosum segmentation, deformablemodels, landmark detection, pathology analysis, prostate segmentation, vertebra, segmentation BibRef


Li, X.Y.[Xing-Yu], Plataniotis, K.N.[Konstantinos N.],
Diagnostic color estimation of tissue components in pathology images via von Mises mixture model,
ICIP15(2060-2064)
IEEE DOI 1512
Pathology image BibRef

Hatipoglu, N., Bilgin, G.,
Classification of histopathological images using convolutional neural network,
IPTA14(1-6)
IEEE DOI 1503
image classification BibRef

Sommer, C.[Christoph], Fiaschi, L.[Luca], Hamprecht, F.A.[Fred A.], Gerlich, D.W.[Daniel W.],
Learning-based mitotic cell detection in histopathological images,
ICPR12(2306-2309).
WWW Link. 1302
BibRef

Toutain, M., Lézoray, O., Audigié, F., Busoni, V., Rossi, G., Parillo, F., El Moataz, A.,
Analysis of Whole Slide Images of Equine Tendinopathy,
ICIAR12(II: 440-447).
Springer DOI 1206
BibRef

Cooper, L.[Lee], Saltz, J.[Joel], Machiraju, R.[Raghu], Huang, K.[Kun],
Two-point correlation as a feature for histology images: Feature space structure and correlation updating,
MMBIA10(79-86).
IEEE DOI 1006
BibRef

Graf, F.[Felix], Grzegorzek, M.[Marcin], Paulus, D.[Dietrich],
Counting Lymphocytes in Histopathology Images Using Connected Components,
ICPR-Contests10(263-269).
Springer DOI 1008
BibRef

Cheng, J.[Jierong], Veronika, M.[Merlin], Rajapakse, J.C.[Jagath C.],
Identifying Cells in Histopathological Images,
ICPR-Contests10(244-252).
Springer DOI 1008
BibRef

Kuse, M.[Manohar], Sharma, T.[Tanuj], Gupta, S.[Sudhir],
A Classification Scheme for Lymphocyte Segmentation in H&E Stained Histology Images,
ICPR-Contests10(235-243).
Springer DOI 1008
BibRef

Gurcan, M.N.[Metin N.], Madabhushi, A.[Anant], Rajpoot, N.[Nasir],
Pattern Recognition in Histopathological Images: An ICPR 2010 Contest,
ICPR-Contests10(226-234).
Springer DOI 1008
BibRef

Thomas, K.A.[Kristine A.], Sottile, M.J.[Matthew J.], Salafia, C.M.[Carolyn M.],
Unsupervised Segmentation for Inflammation Detection in Histopathology Images,
ICISP10(541-549).
Springer DOI 1006
BibRef

Canada, B.A.[Brian A.], Thomas, G.K.[Georgia K.], Cheng, K.C.[Keith C.], Wang, J.Z.[James Z.], Liu, Y.X.[Yan-Xi],
Automatic lattice detection in near-regular histology array images,
ICIP08(1452-1455).
IEEE DOI 0810
BibRef
And:
Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns,
CIVR08(581-590). 0807
BibRef

Zhao, D.H.[De-Hua], Chen, Y.X.[Yi-Xin], Correa, H.,
Statistical Categorization of Human Histological Images,
ICIP05(III: 628-631).
IEEE DOI 0512
BibRef

Roula, M.A., Bouridane, A., Kurugollu, F.,
An evolutionary snake algorithm for the segmentation of nuclei in histopathological images,
ICIP04(I: 127-130).
IEEE DOI 0505
BibRef

Nedzved, A., Ablameyko, S.V., Pitas, I.,
Morphological Segmentation of Histology Cell Images,
ICPR00(Vol I: 500-503).
IEEE DOI 0009
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Fluorescence Analysis, Microscopic Analysis, Cells .


Last update:Nov 18, 2017 at 20:56:18