Deep convolutional networks for pancreas segmentation in CT imaging

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9413, Issue , 2015, Pages

  Roth, Holger R ^a   Farag, Amal ^a   Lu, Le ^a   Turkbey, Evrim B ^a   Summers, Ronald M ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

abdomen; computed tomography; computer aided detection; convolutional neural networks; deep learning; pancreas; segmentation; superpixel

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; CONVOLUTION; DECISION TREES; DIAGNOSIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; IMAGE SEGMENTATION; ITERATIVE METHODS; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING; NEURAL NETWORKS; PIXELS; PROBABILITY; PROGRAM PROCESSORS; TOMOGRAPHY;

ABDOMEN; COMPUTER AIDED DETECTION; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; PANCREAS; SUPER PIXELS;

COMPUTERIZED TOMOGRAPHY;

EID: 84943426034     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2081420     Document Type: Conference Paper

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