Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions-Reference-Cited by-同舟云学术

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Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions

Published:2022-09-27 Issue:1 Volume:17 Page:239-255
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Al‐Huda Zaid¹²^ORCID,Yao Yuan³,Yao Jing¹²,Peng Bo¹²,Raza Ali⁴

Affiliation:

1. School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu Sichuan China

2. Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province China

3. Department of General Practice West China Hospital of Sichuan University Chengdu Sichuan China

4. Department of Electrical Engineering and Technology Government College University Faisalabad Pakistan

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12631

Reference68 articles.

1. Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module

2. Diagnosing skin cancer via C‐means segmentation with enhanced fuzzy optimization

3. A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

4. Diagnosing skin cancer via C‐means segmentation with enhanced fuzzy optimization

Cited by 3 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. An optimized boosting framework for skin lesion segmentation and classification;Multimedia Tools and Applications;2023-11-27

2. SLSNet: Weakly-Supervised Skin Lesion Segmentation Network with Self-attentions;PRICAI 2023: Trends in Artificial Intelligence;2023-11-10

3. Image segmentation technology based on transformer in medical decision‐making system;IET Image Processing;2023-06-30

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