Skin Lesions Classification Based on Deep Learning Approach-Reference-Cited by-同舟云学术

Skin Lesions Classification Based on Deep Learning Approach

Published:2020-07 Issue:3 Volume:45 Page:155-161
ISSN:1550-3275
Container-title:Journal of Clinical Engineering
language:en
Short-container-title:J Clin Eng

Author:

Deif Mohanad A.,Hammam Rania E.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Biomedical Engineering,Medicine (miscellaneous)

Reference5 articles.

1. Diagnostic inaccuracy of smartphone applications for melanoma detection;JAMA Dermatol,2013

2. eskin: Study on the smartphone application for early detection of malignant melanoma;Wirel Commun Mob Com

3. Health Monitoring System for elderly (UMHMSE). International Journal of Computer Science & Information Technology (IJCSIT), Halifax, Nova Scotia, Canada,2011

4. Imagenet classification with deep convolutional neural networks;Adv Neural Inf Process Syst,2012

5. Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images;BMC Bioinform,2016

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