Review: a comparative study of state-of-the-art skin image segmentation techniques with CNN-Reference-Cited by-同舟云学术

Review: a comparative study of state-of-the-art skin image segmentation techniques with CNN

Published:2022-09-10 Issue:7 Volume:82 Page:10921-10942
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Nasreen Ghazala^ORCID,Haneef Kashif,Tamoor Maria,Irshad Azeem

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13756-5.pdf

Reference84 articles.

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3. Amelec V, Nelson A, Isaac K (2021) Convolutional neural networks in the identification of benign and malignant melanomas. Proceedings of International Conference on Intelligent Computing, Information and Control Systems. pp. 705–712

4. Andre F, Brett K (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542:115–1189

5. Andre E et al Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115–118

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