Abstract The big Artificial General Intelligence models inspire hot topics currently. The black
box problems of Artificial Intelligence (AI) models still exist and need to be solved urgently …

Simple Summary Artificial intelligence (AI) has shown promise in detecting and diagnosing
nonmelanoma skin cancer through image analysis. The incidence of skin cancer continues …

Skin is our body's most important organ; skin disorders are currently a common and serious
problem due to patients' sensitive skin, as well as physical and psychological …

Big Data Analysis and Artificial Intelligence for Medical Sciences Overview of the current
state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis …

This study introduces SkinLiTE, a lightweight supervised contrastive learning model, tailored
to enhance the detection and typification of skin lesions in dermoscopic images. The core of …

There are multiple skin diseases. Skin diseases manifest through lesions. Lesions can be
discolorations, rashes, or bumps. The most common ones are Smallpox, Monkeypox …

This research evaluates the feasibility of addressing computer vision problems with limited
resources, particularly in the context of medical data where patient privacy concerns restrict …

Skin disease diagnosis is challenging due to various skin lesion texture and detection
challenges. Processing complex skin lesions with detailed features, like limited training …

Skin diseases are a major global health concern for which prompt and precise diagnosis is
necessary for effective treatment. Convolutional neural networks (CNN), one of the deep …

Skin diseases represent a significant global health concern, with early detection being
crucial for effective treatment. This research paper proposes a novel approach for skin …