Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach-Reference-Cited by-同舟云学术

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Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach

Published:2024-07-14 Issue: Volume:53 Page:1363-1372
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Ul Ain Qurrat¹^ORCID,Al-Sahaf Harith²^ORCID,Xue Bing¹^ORCID,Zhang Mengjie¹^ORCID

Affiliation:

1. Victoria University of Wellington, Wellington, New Zealand

2. Department of Cybersecurity Engineering, College of Engineering and Information Technology, AlShaab University, Baghdad, Iraq

Publisher

ACM

Reference47 articles.

1. Early Diagnosis of Cutaneous Melanoma

2. Automatically diagnosing skin cancers from multimodality images using two-stage genetic programming;Ain Qurrat Ul;IEEE Transactions on Cybernetics,2022

3. Genetic programming for automatic skin cancer image classification

4. Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. 2023. A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation. 707--710.

5. Qurrat Ul Ain, B. Xue, H. Al-Sahaf, and M. Zhang. 2018. Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. In Proceedings of the Pacific Rim International Conference on Artificial Intelligence. 732--745.

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