Automated segmentation of epithelial tissue in prostatectomy slides using deep learning

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 10581, Issue , 2018, Pages

  Bulten, Wouter ^a   Hulsbergen Van De Kaa, Christina A ^a   Van Der Laak, Jeroen ^a   Litjens, Geert J S ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Deep learning; Histopathology; Prostate cancer; Segmentation; Whole slide imaging

Indexed keywords

AUTOMATION; DIAGNOSIS; DISEASES; GRADING; GROWTH RATE; IMAGE SEGMENTATION; MEDICAL IMAGING; NETWORK ARCHITECTURE; PATHOLOGY; TISSUE; TISSUE ENGINEERING; UROLOGY;

AUTOMATED SEGMENTATION; CONVOLUTIONAL NETWORKS; HISTOPATHOLOGY; INTEROBSERVER VARIABILITY; PROSTATE CANCERS; RADICAL PROSTATECTOMY; REGIONS OF INTEREST; WHOLE SLIDE IMAGING (WSI);

DEEP LEARNING;

EID: 85049218026     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2292872     Document Type: Conference Paper

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