High Performed Skin Lesion Segmentation Based on Modified Active Contour-Reference-Cited by-同舟云学术

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High Performed Skin Lesion Segmentation Based on Modified Active Contour

Published:2022-07-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Telecommunications Conference (ITC-Egypt)
language:
Short-container-title:

Author:

Fawzy Shimaa¹,Moustafa Hossam El-Din¹,Ata Mohamed Maher²,AbdelHay Ehab H.¹

Affiliation:

1. Mansoura University,Faculty of Engineering,Department of Communications and Electronics Engineering,Mansoura,Egypt,35516

2. MISR Higher institute for Engineering and Technology,Department of Communications and Electronics Engineering,Mansoura,Egypt,35516

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855646/9855667/09855766.pdf?arnumber=9855766

Reference15 articles.

1. Improved Skin Lesion Detection and Segmentation by Fusing Texture and Geometric Features

2. Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images

3. Automatic lesion border selection in dermoscopy images using morphology and color features

4. Active Contours in the Complex Domain for Salient Object Detection

5. Hair detection and lesion segmentation in dermoscopic images using domain knowledge

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. Embedded Skin Lesion Segmentation using Lightweight Encoder-Decoder Architectures;2023 3rd International Conference on Artificial Intelligence (ICAI);2023-02-22

2. Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review;IEEE Access;2023

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