利用遗传编程实现皮肤癌诊断的自动化和可解释计算机辅助方法

IF 11.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Evolutionary Computation Pub Date : 2024-09-12 DOI:10.1109/tevc.2024.3459096
Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
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An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming
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来源期刊
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation 工程技术-计算机:理论方法
CiteScore
21.90
自引率
9.80%
发文量
196
审稿时长
3.6 months
期刊介绍: The IEEE Transactions on Evolutionary Computation is published by the IEEE Computational Intelligence Society on behalf of 13 societies: Circuits and Systems; Computer; Control Systems; Engineering in Medicine and Biology; Industrial Electronics; Industry Applications; Lasers and Electro-Optics; Oceanic Engineering; Power Engineering; Robotics and Automation; Signal Processing; Social Implications of Technology; and Systems, Man, and Cybernetics. The journal publishes original papers in evolutionary computation and related areas such as nature-inspired algorithms, population-based methods, optimization, and hybrid systems. It welcomes both purely theoretical papers and application papers that provide general insights into these areas of computation.
期刊最新文献
Using the Empirical Attainment Function for Analyzing Single-Objective Black-Box Optimization Algorithms A Simple yet Effective Greedy Evolutionary Strategy for RNA Design Transfer Task-Averaged Natural Gradient for Efficient Many-Task Optimization A Diversity-Enhanced Tri-Stage Framework for Constrained Multi-objective Optimization An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming
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