Attention learning models using local Zernike moments-based normalized images and convolutional neural networks for skin lesion classification-Reference-Cited by-同舟云学术

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Attention learning models using local Zernike moments-based normalized images and convolutional neural networks for skin lesion classification

Published:2024-10 Issue: Volume:96 Page:106512
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Singh Chandan^ORCID,Ranade Sukhjeet Kaur^ORCID,Singh Satinder Pal

Publisher

Elsevier BV

Reference72 articles.

1. WHO, Ultraviolet radiation and the INTERSUN Programme (Data Accessed May 11, 2018). URL http://www.who.int/uv/faq/skincancer/en/index1.html.

2. Asociación Española Contra el Cáncer. 2018 (https://www.aecc.es/es). Accessed: 2018- 11-19.

3. Techniques and algorithms for computer aided diagnosis of pigmented skin lesions-a review;Pathana;Biomed. Signal Process. Control,2018

4. Fusing fine-tuned deep features for skin lesion classification;Mahbod;Comput. Med. Imaging Graph.,2019

5. Attention residual learning for skin lesion classification;Zhang;IEEE Trans. Med. Imaging,2019

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