- author = "Kunjie Yu and Mengyu Wang and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang",
- title = "A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators",
- booktitle = "22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Part II",
- year = "2025",
- editor = "Yi Mei and Chao Qian and Quan Bai and Bing Xue and Sankalp Khanna",
- volume = "16452",
- series = "Lecture Notes in Computer Science",
- pages = "116--131",
- address = "Wellington, New Zealand",
- month = nov # " 17-21",
- publisher = "Springer Nature",
- keywords = "genetic algorithms, genetic programming, Flexible Region Detection, Skin Cancer Image Classification, Feature Extraction",
- isbn13 = "978-981-95-7072-0",
-
DOI = "
10.1007/978-981-95-7072-0_8",
- abstract = "... This study proposes a genetic programming (GP)-based method with flexible region detection operators (GPFRD) for automatically and flexibly learning discriminative features for various classification tasks of skin cancer images. The proposed GPFRD method integrates preprocessing, region detection, feature extraction, and feature concatenation into a cohesive framework, significantly enhancing flexibility. The newly designed operators precisely localize diagnostically critical regions based on lesion masks while suppressing irrelevant background interference. These operators enable the proposed method to evolve effective feature extraction solutions based on the characteristics of different image datasets. Experimental results on five datasets of varying difficulties demonstrate that the proposed method outperforms the benchmark GP-based method and four traditional feature extraction methods in the majority of cases.",
-
notes = "Pacific Rim International Conference on Artificial
Intelligence
Published 2026
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China",
