A spatially constrained deep learning framework for detection of epithelial tumor nuclei in cancer histology images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9467, Issue , 2015, Pages 154-162

  Sirinukunwattana, Korsuk ^a   Ahmed Raza, Shan E ^a   Tsang, Yee Wah ^b   Snead, David ^b   Cree, Ian ^b   Rajpoot, Nasir ^c  

^a UNIVERSITY OF WARWICK   (United Kingdom)

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

^c Qatar University ^*  (Qatar)

Author keywords

Cancer nuclei detection; Convolutional neural networks; Spatially constrained regression

Indexed keywords

CONVOLUTION; DISEASES; HISTOLOGY; NEURAL NETWORKS; PROBABILITY; TUMORS;

CONSTRAINED REGRESSION; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; HIGH PROBABILITY; HISTOLOGY IMAGES; NUCLEI DETECTIONS; SIZE AND SHAPE; TISSUE ARCHITECTURE;

MEDICAL IMAGING;

EID: 84955255437     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-28194-0_19     Document Type: Conference Paper

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