Classification of Melanoma Using Different Segmentation Techniques-Reference-Cited by-同舟云学术

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Classification of Melanoma Using Different Segmentation Techniques

Published:2019 Issue: Volume: Page:452-462
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Gulati Savy^ORCID,Bhogal Rosepreet Kaur^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16681-6_45

Reference31 articles.

1. American Cancer Society. https://www.cancer.org/cancer/melanoma-skin-cancer/about/what-is-melanoma.html

2. LIVESCIENCE. https://www.livescience.com/34783-uv-rays-increase-melanoma-skin-cancer-risk.html

3. MAYOCLINIC. https://www.pharmacytimes.com/perspectives/management-of-melanoma/burden-and-disease-characteristics-of-melanoma

4. Pharmacy Times. https://www.pharmacytimes.com/perspectives/management-of-melanoma/burden-and-disease-characteristics-of-melanoma

5. ScienceDaily. https://www.sciencedaily.com/releases/2017/03/170303091710.htm

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Skin Lesion Segmentation with Self-Training;Cancers;2024-03-11

2. Skin Lesion Classification Based on Segmented Image;2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA);2023-10-16

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