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Volumn , Issue , 2012, Pages 2306-2309

Learning-based mitotic cell detection in histopathological images

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL IMAGE ANALYSIS; BREAST CANCER; BREAST CANCER GRADING; CANCER DEVELOPMENT; CLINICAL PRACTICES; DIAGNOSIS AND PROGNOSIS; HIERARCHICAL LEARNING; HIGH RESOLUTION; HISTOLOGICAL IMAGES; HISTOLOGICAL TISSUE; HISTOPATHOLOGICAL IMAGES; LOCALIZATION ACCURACY; MITOSIS DETECTIONS; MITOTIC CELLS; OBJECT SHAPE; OPEN SOURCES; PARAMETER-TUNING; SOURCE CODES; TRAINING SETS; USER FRIENDLY INTERFACE; VISUAL INSPECTION;

EID: 84874566554     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (93)

References (15)
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  • 3
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    • Pathologic correlates of survival in 378 lymph node-negative infiltrating ductal breast carcinomas. Mitotic count is the best single predictor
    • F. Clayton. Pathologic correlates of survival in 378 lymph node-negative infiltrating ductal breast carcinomas. mitotic count is the best single predictor. Cancer, 68(6):1309-1317, 1991.
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    • Clayton, F.1
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    • Expectation-maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology
    • H. Fatakdawala, J. Xu, A. Basavanhally, G. Bhanot, S. Ganesan, M. Feldman, J. Tomaszewski, and A. Madabhushi. Expectation-maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology. IEEE Transactions on Biomedical Engineering, 57(7):1676-1689, 2010.
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    • Fatakdawala, H.1    Xu, J.2    Basavanhally, A.3    Bhanot, G.4    Ganesan, S.5    Feldman, M.6    Tomaszewski, J.7    Madabhushi, A.8
  • 15
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    • Combining intensity, edge and shape information for 2d and 3d segmentation of cell nuclei in tissue sections
    • C. Wählby, I. Sintron, F. Erlandsson, G. Borgefors, and E. Bengtsson. Combining intensity, edge and shape information for 2d and 3d segmentation of cell nuclei in tissue sections. Journal of Microscopy, 215(1):67-76, 2004.
    • (2004) Journal of Microscopy , vol.215 , Issue.1 , pp. 67-76
    • Wählby, C.1    Sintron, I.2    Erlandsson, F.3    Borgefors, G.4    Bengtsson, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.