Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities.

ABSTRACT: Recently, there has been great interest in developing Artificial Intelligence (AI) enabled computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing incidence of skin cancers, low awareness among a growing population, and a lack of adequate clinical expertise and services, there is an immediate need for AI systems to assist clinicians in this domain. A large number of skin lesion datasets are available publicly, and researchers have developed AI solutions, particularly deep learning algorithms, to distinguish malignant skin lesions from benign lesions in different image modalities such as dermoscopic, clinical, and histopathology images. Despite the various claims of AI systems achieving higher accuracy than dermatologists in the classification of different

SUBMITTER: Goyal M 

PROVIDER: S-EPMC8290363 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature