Automatic segmentation of histopathological slides of renal tissue using deep learning

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 10581, Issue , 2018, Pages

  De Bel, Thomas ^a   Hermsen, Meyke ^a   Smeets, Bart ^a   Hilbrands, Luuk ^a   Van Der Laak, Jeroen ^a   Litjens, Geert ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Computational pathology; Convolutional neural networks; Data augmentation; Renal tissue segmentation

Indexed keywords

CONVOLUTION; DEEP LEARNING; DIAGNOSIS; MEDICAL IMAGING; NETWORK ARCHITECTURE; NEURAL NETWORKS; PATHOLOGY; TISSUE ENGINEERING;

AUTOMATIC ANALYSIS; AUTOMATIC SEGMENTATIONS; CONVOLUTIONAL NETWORKS; CONVOLUTIONAL NEURAL NETWORK; DATA AUGMENTATION; RENAL TISSUE; WHOLE SLIDE IMAGES; WHOLE SLIDE IMAGING (WSI);

TISSUE;

EID: 85049219019     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2293717     Document Type: Conference Paper

References (7)

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