Step-wise integration of deep class-specific learning for dermoscopic image segmentation-Reference-Cited by-同舟云学术

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Step-wise integration of deep class-specific learning for dermoscopic image segmentation

Published:2019-01 Issue: Volume:85 Page:78-89
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Bi Lei,Kim Jinman,Ahn Euijoon,Kumar Ashnil,Feng Dagan,Fulham Michael

Funder

Australia Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference60 articles.

1. The incidence of malignant melanoma in the United States: issues as we approach the 21st century;Rigel;J. Am. Acad. Dermatol.,1996

2. Development of a clinically oriented system for melanoma diagnosis;Barata;Pattern Recognit.,2017

3. A methodological approach to the classification of dermoscopy images;Celebi;Comput. Med. Imaging Graph.,2007

4. Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions;Capdehourat;Pattern Recognit. Lett.,2011

5. Automatic detection of blue-white veil and related structures in dermoscopy images;Celebi;Comput. Med. Imaging Graph.,2008

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