DermoDeep-A classification of melanoma-nevus skin lesions using multi-feature fusion of visual features and deep neural network-Reference-Cited by-同舟云学术

DermoDeep-A classification of melanoma-nevus skin lesions using multi-feature fusion of visual features and deep neural network

Published:2019-05-07 Issue:16 Volume:78 Page:23559-23580
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Abbas Qaisar^ORCID,Celebi M. Emre

Funder

Al-Imam Muhammad Ibn Saud Islamic University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-7652-y.pdf

Reference72 articles.

1. Abbas Q et al (2013) Pattern classification of dermoscopy images: a perceptually uniform model. Pattern Recogn 46(1):86–97

2. Abbas Q et al (2013) Melanoma recognition framework based on expert definition of ABCD for dermoscopic images. Skin Res Technol 19:93–102

3. Abbas Q, Sadaf M, Akram A (2016) Prediction of dermoscopy patterns for recognition of both melanocytic and non-melanocytic skin lesions. Computers 5(13):1–16

4. Aghbari ZA, Al-Haj R (2006) Hill-manipulation: an effective algorithm for color image segmentation. Image Vis Comput 24:894–903

5. Argenziano G et al (2000) Interactive atlas of dermoscopy CD. EDRA medical publishing and new media. Milan, Italy

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