Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in
image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI …

In this ground-breaking endeavor, we describe an automated skin cancer screening booth
that can transform current approaches to early detection. The merging of Raspberry Pi …

Simple Summary The Internet of Things (IoT) uses connected devices and sensors, like high-
resolution cameras and specific sensors in wearable devices, for the collection of skin …

Background Artificial Intelligence (AI) is significantly transforming dermatology, particularly in
early skin cancer detection and diagnosis. This technological advancement addresses a …

Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …

Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …

Skin cancer is a serious health condition, as it can locally evolve into disfiguring states or
metastasize to different tissues. Early detection of this disease is critical because it increases …

ABSTRACT The International Skin Imaging Collaboration (ISIC) datasets are pivotal
resources for researchers in machine learning for medical image analysis, especially in skin …

Integrating Internet of Things (IoT)-assisted eye-related recognition incorporates connected
devices and sensors for primary analysis and monitoring of eye conditions. Recent …