Classification of skin lesions using transfer learning and augmentation with Alex-net-Reference-Cited by-同舟云学术

Classification of skin lesions using transfer learning and augmentation with Alex-net

Published:2019-05-21 Issue:5 Volume:14 Page:e0217293
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Hosny Khalid M.^ORCID,Kassem Mohamed A.^ORCID,Foaud Mohamed M.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference43 articles.

1. American Cancer Society: Cancer facts and figures 2018. Available from: https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2018/cancer-facts-and-figures-2018.pdf, Cited 2 Aug 2018.

2. Deep learning ensembles for melanoma recognition in dermoscopy images;N. Codella;IBM Journal of Research and Development,2017

3. Color Medical Image Analysis, Lecture Notes in Computational Vision and Biomechanics;L. Ballerini,2013

4. Machine Learning in Medical Imaging. Lecture Notes in Computer Science;N. Codella,2015

5. An overview of melanoma detection in dermoscopy images using image processing and machine learning;N. Mishra;An overview of melanoma detection in dermoscopy images using image processing and machine learning,2016

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