Artificial Intelligence in the Detection and Classification of Skin Diseases

Dear Colleagues,

This Special Issue focuses on new artificial intelligence (AI) developments for skin disease detection and classification. Malignant melanoma, one of the worst types of skin cancer, is frequently discovered in people with fair skin. The severity of the skin pigmented cancer and its resulting fatality could be curtailed if it is detected and cured at the early stages of inception. Identifying benign and malignant lesions is of utmost precedence for binary problems. In contrast, the latest publicly available dataset comprises more than two classes. New AI models might be utilised to revamp, strategise and examine the reconstructed skin images to build automatic detection and classification applications. The current expansion of AI in medicine thrives on efficient classification outcomes. The available AI techniques have achieved accuracy to compete with a dermatologist’s physical inspection results.

Furthermore, the detection and taxonomy of skin lesions from dermoscopic and non-dermoscopic images rendered numerous anticipations in this area. The availability of online cloud-based systems, offline estimation resources and the publicly available extensive datasets supported AI technologies. Now, image examination before their practical use in the clinical setting is accessible, such as quality measures of lesions, generating image datasets, the generalisation of models, the relevancy of algorithms in a real-world setting or transparency of determining AI procedures.

According to the focus of the Special Issue, we invite research manuscripts on topics of advances in the use of artificial intelligence approaches for various skin image detection tasks. Options are to detect and classify the skin lesion, its segmentation, efficient AI system analysis of skin images and vital post- or preprocessing procedures to improve skin disease detection.

Dr. Tallha Akram
Guest Editor

Manuscript Submission Information

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