Melanoma skin cancer classification based on CNN deep learning algorithms

• Main Authors: Waheed, Safa Riyadh, Saadi, Saadi Mohammed, Mohd. Rahim, Mohd. Shafry, Mohd. Suaib, Norhaida, Najjar, Fallah H., Adnan, Myasar Mundher, Salim, Ali Aqeel
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2023
• Subjects: QA Mathematics; QC Physics
• Online Access: http://eprints.utm.my/105332/1/AliAqeelSalim2023_MelanomaSkinCancerClassification.pdf; http://eprints.utm.my/105332/; http://dx.doi.org/10.11113/mjfas.v19n3.2900
• Institution: Universiti Teknologi Malaysia

Melanoma, the deadliest form of skin cancer, is on the rise. The goal of this study is to present a deep learning system implementation for the detection of melanoma lesions on a server equipped with a graphics processing unit (GPU). When applied by a dermatologist, the recommended method might aid...