Joint deep learning of foreground, background and shape for robust contextual segmentation

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

Volumn 10265 LNCS, Issue , 2017, Pages 622-632

  Ravishankar, Hariharan ^a   Thiruvenkadam, S ^a   Venkataramani, R ^a   Vaidya, V ^a  

^a GE GLOBAL RESEARCH   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; DEEP LEARNING; DIAGNOSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; MEDICAL IMAGING; SEMANTICS;

CONVOLUTIONAL NETWORKS; GENERATIVE MODEL; KIDNEY SEGMENTATION; LIMITED TRAINING DATA; OBJECT DELINEATION; PREDICTION PROBLEM; SEMANTIC SEGMENTATION; TRANSFER OF LEARNING;

MEDICAL IMAGE PROCESSING;

EID: 85020532120     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-59050-9_49     Document Type: Conference Paper

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