Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 6091-6094

  Irshad, Humayun ^a   Roux, Ludovic ^a   Racoceanu, Daniel ^b  

^a UNIV GRENOBLE ALPES   (France)

^b SORBONNE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPREHENSIVE ANALYSIS; DETECTION RATES; GRADING PROCESS; MITOSIS DETECTIONS; MORPHOLOGICAL FEATURES; MULTI-SPECTRAL; PREDICTIVE ACCURACY; STATISTICAL FEATURES;

CLASSIFICATION (OF INFORMATION); GRADING;

DISEASES;

BIOLOGY; BREAST NEOPLASMS; FEMALE; HUMAN; IMAGE PROCESSING; MITOSIS; PATHOLOGY; PROCEDURES;

BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MITOSIS;

EID: 84886569600     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610942     Document Type: Conference Paper

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