Skin cancer diagnosis using artificial intelligence methods: a review of the most recent research

Yousra Dahdouh; Abdelhakim Boudhir Anouar; Mohamed Ben Ahmed

doi:10.1117/12.3012168

19 December 2023 Skin cancer diagnosis using artificial intelligence methods: a review of the most recent research

Yousra Dahdouh, Abdelhakim Boudhir Anouar, Mohamed Ben Ahmed

Proceedings Volume 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023); 129360U (2023) https://doi.org/10.1117/12.3012168
Event: International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 2023, Istanbul, Turkey

Abstract

According to the most recent global cancer statistics from WHO, cancer is considered one of the most severe diseases and is becoming one of the main reasons for human deaths globally. Skin cancer is the greater popular kind in view of prolonged exposure to the sun's harmful ultraviolet (UV) radiation. In order to minimize the severity of this disease, since it is more curable in the early stages, initial detection is ideal. Given the importance of this challenge, recently, using artificial intelligence techniques, researchers have developed various methods for early skin cancer lesions, which have been effectively used in the detection, classification, and treatment of various classes of skin diseases, and helping dermatologists in early diagnosis, and thus increasing the patient’s chance of recovery quickly. We present in this paper the latest research article’s details for detecting and classifying skin cancer using AI methods. In this context, we examined more than 100 publications from the last five years and we discussed and analyzed the advancements in AI solutions that exist to aid dermatologists and improve their capacity to detect skin cancer. Additionally, we give a summary of the most popular (deep and machine) learning models and datasets used for training. In this work, we concentrated on doing a comprehensive comparison of different works related to the utilization of AI techniques for skin cancer identification and categorizing is provided.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yousra Dahdouh, Abdelhakim Boudhir Anouar, and Mohamed Ben Ahmed "Skin cancer diagnosis using artificial intelligence methods: a review of the most recent research", Proc. SPIE 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 129360U (19 December 2023); https://doi.org/10.1117/12.3012168

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KEYWORDS

Skin

Skin cancer

Machine learning

Deep learning

Feature extraction

Image classification

Artificial intelligence

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