The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer

• Main Authors: Tehseen Mazhar, Inayatul Haq, Allah Ditta, Syed Agha Hassnain Mohsan, Faisal Rehman, Imran Zafar, Jualang Azlan Gansau, Lucky Poh Wah Goh
• Format: Article
• Language: English; English
• Published: Molecular Diversity Preservation International (MDPI) 2023
• Subjects: RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens; TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
• Online Access: https://eprints.ums.edu.my/id/eprint/36077/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/36077/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/36077/

Machine learning (ML) can enhance a dermatologist’s work, from diagnosis to customized care. The development of ML algorithms in dermatology has been supported lately regarding links to digital data processing (e.g., electronic medical records, Image Archives, omics), quicker computing and cheaper d...