Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images

Procedia Computer Science

Volumn 90, Issue , 2016, Pages 119-124

  Qaiser, Talha ^a   Sirinukunwattana, Korsuk ^a   Nakane, Kazuaki ^b   Tsang, Yee Wah ^c   Epstein, David ^d   Rajpoot, Nasir ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b OSAKA UNIVERSITY   (Japan)

^c UNIVERSITY HOSPITALS COVENTRY AND WARWICKSHIRE NHS TRUST   (United Kingdom)

^d UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Colorectal Cancer; Digital Pathology; Histology Image Analysis; Persistent Homology; Tumor Segmentation

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; DISEASES; HISTOLOGY; IMAGE ANALYSIS; IMAGE UNDERSTANDING; MEDICAL IMAGING; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; TOPOLOGY; TUMORS;

COLORECTAL CANCER; DIGITAL PATHOLOGIES; HISTOLOGY IMAGES; PERSISTENT HOMOLOGY; TUMOR SEGMENTATION;

IMAGE SEGMENTATION;

EID: 84985036661     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2016.07.033     Document Type: Conference Paper

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