Wound intensity correction and segmentation with convolutional neural networks

Concurrency and Computation: Practice and Experience

Volumn 29, Issue 6, 2017, Pages

  Lu, Huimin ^a,b,c   Li, Bin ^d   Zhu, Junwu ^d   Li, Yujie ^a,d   Li, Yun ^d   Xu, Xing ^e,h   He, Li ^f   Li, Xin ^c   Li, Jianru ^g   Serikawa, Seiichi ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b INSTITUTE OF OCEANOLOGY   (China)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

^d YANGZHOU UNIVERSITY   (China)

^e KYUSHU UNIVERSITY   (Japan)

^f R&D Cent   (United States)

^g TONGJI UNIVERSITY   (China)

^h UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

big data; eHealth analysis system; illumination correction; level set model

Indexed keywords

BIG DATA; COLOR; CONVOLUTIONAL NEURAL NETWORKS; COPYRIGHTS; TISSUE REGENERATION;

ADDITIVE OPERATOR SPLITTING; ANALYSIS SYSTEM; CONVENTIONAL APPROACH; ILLUMINATION CORRECTION; INTENSITY INHOMOGENEITY; INTENSITY INHOMOGENEITY CORRECTION; LEVEL-SET MODEL; STATE-OF-THE-ART METHODS;

NUMERICAL METHODS;

EID: 84980340447     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.3927     Document Type: Conference Paper

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