Multimodal deep learning for cervical dysplasia diagnosis

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

Volumn 9901 LNCS, Issue , 2016, Pages 115-123

  Xu, Tao ^a   Zhang, Han ^b   Huang, Xiaolei ^a   Zhang, Shaoting ^c   Metaxas, Dimitris N ^b  

^a Lehigh University   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c University of North Carolina at Charlotte   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL IMAGING; NEURAL NETWORKS;

COMPLEMENTARY FEATURES; CONVOLUTIONAL NEURAL NETWORK; DEEP NEURAL NETWORKS; DIAGNOSTIC ACCURACY; LEARNING CORRELATION; MULTI-MODAL INFORMATION; MULTIMODAL FRAMEWORKS; NON-LINEAR CORRELATIONS;

DIAGNOSIS;

EID: 84996561744     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46723-8_14     Document Type: Conference Paper

References (14)

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