20.7.1.1 Breast Cancer Cell Analysis, Pathology, Nuclei Detection

Chapter Contents (Back)
Mammograms. Medical, Applications.

Raimondo, F., Gavrielides, M.A., Karayannopoulou, G., Lyroudia, K., Pitas, I., Kostopoulos, I.,
Automated Evaluation of Her-2/neu Status in Breast Tissue From Fluorescent In Situ Hybridization Images,
IP(14), No. 9, September 2005, pp. 1288-1299.
IEEE DOI 0508
BibRef

Harrabi, R., Ben Braiek, E.,
Color image segmentation using multi-level thresholding approach and data fusion techniques: application in the breast cancer cells images,
JIVP(2012), No. 1 2012, pp. xx-yy.
DOI Link 1205
BibRef

Zhang, X., Liu, W., Dundar, M., Badve, S., Zhang, S.,
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval,
MedImg(34), No. 2, February 2015, pp. 496-506.
IEEE DOI 1502
Breast cancer BibRef

Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Tang, J., Madabhushi, A.,
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images,
MedImg(35), No. 1, January 2016, pp. 119-130.
IEEE DOI 1601
Breast cancer BibRef

Ehteshami Bejnordi, B., Balkenhol, M., Litjens, G., Holland, R., Bult, P., Karssemeijer, N., van der Laak, J.A.W.M.,
Automated Detection of DCIS in Whole-Slide H E Stained Breast Histopathology Images,
MedImg(35), No. 9, September 2016, pp. 2141-2150.
IEEE DOI 1609
Breast tissue BibRef

Wdowiak, M.[Marek], Markiewicz, T.[Tomasz], Osowski, S.[Stanislaw], Patera, J.[Janusz], Kozlowski, W.[Wojciech],
Novel segmentation algorithm for identification of cell membrane staining in HER2 images,
PRL(84), No. 1, 2016, pp. 225-231.
Elsevier DOI 1612
Pattern recognition BibRef

Xing, F., Xie, Y., Yang, L.,
An Automatic Learning-Based Framework for Robust Nucleus Segmentation,
MedImg(35), No. 2, February 2016, pp. 550-566.
IEEE DOI 1602
Breast cancer BibRef

Albarqouni, S., Baur, C., Achilles, F., Belagiannis, V., Demirci, S., Navab, N.,
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images,
MedImg(35), No. 5, May 2016, pp. 1313-1321.
IEEE DOI 1605
Biomedical imaging BibRef


Garud, H., Karri, S.P.K., Sheet, D., Chatterjee, J., Mahadevappa, M., Ray, A.K., Ghosh, A., Maity, A.K.,
High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks,
Microscopy17(828-833)
IEEE DOI 1709
Breast cancer, Computer architecture, Microprocessors, Microscopy, Training BibRef

Bhandari, S.H.[Smriti H.],
A bag-of-features approach for malignancy detection in breast histopathology images,
ICIP15(4932-4936)
IEEE DOI 1512
bag-of-features; breast histopathology; cancer detection BibRef

Moncayo, R.[Ricardo], Romo-Bucheli, D.[David], Romero, E.[Eduardo],
A Grading Strategy for Nuclear Pleomorphism in Histopathological Breast Cancer Images Using a Bag of Features (BOF),
CIARP15(75-82).
Springer DOI 1511
BibRef

Wdowiak, M.[Marek], Markiewicz, T.[Tomasz], Osowski, S.[Stanislaw], Patera, J.[Janusz], Kozlowski, W.[Wojciech],
Gradients and Active Contour Models for Localization of Cell Membrane in HER2/neu Images,
CAIP15(I:432-444).
Springer DOI 1511
BibRef

Wdowiak, M.[Marek], Markiewicz, T.[Tomasz], Osowski, S.[Stanislaw], Swiderska, Z.[Zaneta], Patera, J.[Janusz], Kozlowski, W.[Wojciech],
Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images,
ISMM15(3-14).
Springer DOI 1506
BibRef

Khan, A.M.[Adnan Mujahid], Sirinukunwattana, K.[Korsuk], Rajpoot, N.[Nasir],
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images,
MLMI14(101-108).
Springer DOI 1410
BibRef

Pollanen, I., Braithwaite, B., Ikonen, T., Niska, H., Haataja, K., Toivanen, P., Tolonen, T.,
Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS,
IPTA14(1-6)
IEEE DOI 1503
cancer BibRef

Zheng, Y.S.[Yu-Shan], Jiang, Z.G.[Zhi-Guo], Shi, J.[Jun], Ma, Y.B.[Yi-Bing],
Retrieval of pathology image for breast cancer using PLSA model based on texture and pathological features,
ICIP14(2304-2308)
IEEE DOI 1502
Breast cancer BibRef

Paramanandam, M.[Maqlin], Thamburaj, R.[Robinson], Manipadam, M.T.[Marie Theresa], Nagar, A.K.[Atulya K.],
Boundary Extraction for Imperfectly Segmented Nuclei in Breast Histopathology Images: A Convex Edge Grouping Approach,
IWCIA14(250-261).
Springer DOI 1405
BibRef

Saha, B.N.[Baidya Nath], Saini, A.[Amritpal], Ray, N.[Nilanjan], Greiner, R.[Russell], Hugh, J.[Judith], Tambasco, M.[Mauro],
A robust convergence index filter for breast cancer cell segmentation,
ICIP14(922-926)
IEEE DOI 1502
Convergence BibRef

Wan, T.[Tao], Liu, X.[Xu], Chen, J.H.[Jian-Hui], Qin, Z.C.[Zeng-Chang],
Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology,
ICIP14(2290-2294)
IEEE DOI 1502
Breast cancer BibRef

Tripathi, A.S.[Ardhendu Shekhar], Mathur, A.[Atin], Daga, M.[Mohit], Kuse, M.[Manohar], Au, O.C.[Oscar C.],
2-SiMDoM: A 2-Sieve model for detection of mitosis in multispectral breast cancer imagery,
ICIP13(611-615)
IEEE DOI 1402
Accuracy BibRef

Khan, A.M.[Adnan M.], El-Daly, H.[Hesham], Rajpoot, N.M.[Nasir M.],
A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images,
ICPR12(149-152).
WWW Link. 1302
BibRef

Peskin, A.P.[Adele P.], Hoeppner, D.J.[Daniel J.], Stuelten, C.H.[Christina H.],
Segmentation and Cell Tracking of Breast Cancer Cells,
ISVC11(I: 381-391).
Springer DOI 1109
BibRef

Roullier, V.[Vincent], Lézoray, O.[Olivier], Ta, V.T.[Vinh-Thong], El Moataz, A.[Abderrahim],
Mitosis Extraction in Breast-Cancer Histopathological Whole Slide Images,
ISVC10(I: 539-548).
Springer DOI 1011
Not mammogram, but analysis of tissue samples. BibRef

Tsapatsoulis, N., Schnorrenberg, F., Pattichis, C.S., and Kollias, S.,
An Image Analysis System for Automated Detection of Breast Cancer Nuclei,
ICIP97(III: 512-515).
IEEE DOI BibRef 9700

Dias, A.V., Bortolozzi, F., Delgado, M.R.B.S.,
Results of the Use of Bayesian Classifiers for Identification of Breast Cancer Cell Nuclei,
ICPR96(III: 508-512).
IEEE DOI 9608
(Centro Federal de Educacao, BR) BibRef

Murshed, N.A., Bortolozzi, F., Sabourin, R.,
A fuzzy ARTMAP-based classification system for detecting cancerous cells, based on the one-class problem approach,
ICPR96(IV: 478-482).
IEEE DOI 9608
(Centro Federal de Educacao, BR) BibRef

Mea, V.D.[Vincenzo Della], Beltrami, C.A.[Carlo Alberto],
Analysis of the spatial arrangement of cells in the proliferative breast lesions,
CIAP95(247-252).
Springer DOI 9509
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Mammography, Microcalcifications, Detection, Analysis .


Last update:Nov 11, 2017 at 13:31:57