Skin lesion classification using machine learning approach: A survey-Reference-Cited by-同舟云学术

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Skin lesion classification using machine learning approach: A survey

Published:2022-02-14 Issue: Volume: Page:
ISSN:
Container-title:2022 Global Conference on Wireless and Optical Technologies (GCWOT)
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Author:

Afroz Adnan¹,Zia Razia²,Garcia Andres Ortiz³,Khan Muhammad Umar⁴,Jilani Umair⁴,Ahmed Khawaja Masood⁴

Affiliation:

1. Sir Syed University Engineering and Technology,Software Enginneering Department,Karachi,Pakistan

2. Sir Syed University Engineering and Technology,Electrical Engineering Department,Karachi,Pakistan

3. Universidad De Malaga,E.T.S Ingenieria De Telecomunicacion,Malaga,Spain

4. Sir Syed University Engineering and Technology,Telecommunication Engineering Department,Karachi,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9772875/9772876/09772915.pdf?arnumber=9772915

Reference74 articles.

1. An image-based segmentation recommender using crowdsourcing and transfer learning for skin lesion extraction

2. Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma

3. Skin Lesion Segmentation Ensemble with Diverse Training Strategies

4. FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention

5. Skin disease diagnosis with deep learning: A review

Cited by 6 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. Efficient Net Approach for Skin Cancer Detection for Early Intervention;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

2. Pattern Recognition Based Skin Lesion Stage Analysis Using IoT;SN Computer Science;2024-04-23

3. Skin Disease Prediction Using Machine Learning Techniques;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

4. Comparative Analysis of Thresholding Methods to Facilitate Decision Making over Microscopic Skin Image;2023 8th International Conference on Computer Science and Engineering (UBMK);2023-09-13

5. A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies;Journal of Imaging;2023-02-06

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