Histological image feature mining reveals emergent diagnostic properties for renal cancer

Proceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011

Volumn , Issue , 2011, Pages 422-425

  Kothari, Sonal ^a   Phan, John H ^b   Young, Andrew N ^c   Wang, May D ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b Emory University   (United States)

^c EMORY UNIVERSITY   (United States)

Author keywords

computer aided diagnosis; histology; image mining

Indexed keywords

CANCER DIAGNOSTICS; DIAGNOSTIC MODEL; DIAGNOSTIC PROBLEM; DIAGNOSTIC SYSTEMS; FEATURE SUBSET; HISTOLOGICAL IMAGES; IMAGE FEATURE SET; IMAGE FEATURES; IMAGE MINING; IMAGE PROPERTIES; RENAL TUMORS;

BIOINFORMATICS; DISEASES; HISTOLOGY;

COMPUTER AIDED DIAGNOSIS;

EID: 84862969855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2011.112     Document Type: Conference Paper

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