An Overview of Skin Lesion Segmentation Methods: Techniques, Challenges, and Future Directions-Reference-Cited by-同舟云学术

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An Overview of Skin Lesion Segmentation Methods: Techniques, Challenges, and Future Directions

Published:2023-05-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)
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Author:

Salih Omran¹,Elmezughi Mohamed K.²,Solwa Shaheen²,Almaktoof Ali³,Abougarair Ahmed J.⁴

Affiliation:

1. Alzaiem Alazhari University,MATH & COM-SC Department,Khartoum,Sudan

2. University of KwaZulu-Natal,EECE Department,Durban,South Africa

3. Cape Peninsula University of Technology,EECE Department,Cape Town,South Africa

4. University of Tripoli,EEE Department,Tripoli,Libya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169130/10169115/10169699.pdf?arnumber=10169699

Reference30 articles.

1. Automated seeding for ultrasound skin lesion segmentation

2. Skin lesion segmentation using color channel optimization and clustering-based histogram thresholding;garnavi;WSEAS International Journal on Biology and Biomedicine,2009

3. Skin Lesion Segmentation Using Enhanced Unified Markov Random Field

4. Skin Lesion Segmentation Based on Region-Edge Markov Random Field

5. SkinNet: A deep learning framework for skin lesion segmentation;vesal;2018 IEEE nuclear science symposium and medical imaging conference proceedings (NSS/MIC) 10-17 November 2018,2019

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