Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks

AMIA ... Annual Symposium proceedings. AMIA Symposium

Volumn 2015, Issue , 2015, Pages 1899-1908

  Ertosun, Mehmet Günhan ^a   Rubin, Daniel L ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BRAIN TUMOR; DIAGNOSTIC IMAGING; GLIOBLASTOMA; GLIOMA; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; MACHINE LEARNING; PATHOLOGY;

AUTOMATIC DATA PROCESSING; BRAIN NEOPLASMS; GLIOBLASTOMA; GLIOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; NEURAL NETWORKS (COMPUTER);

EID: 85042106575     PISSN: None     EISSN: 1942597X     Source Type: Journal    
DOI: None     Document Type: Article

References (0)