U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …

Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …

An automatic skin lesion segmentation algorithm not only facilitates the dermatologist's
workload on skin cancer analysis but also provides a platform for early cancer prediction …

Skin surface imaging has been used to examine skin lesions with a microscope for over a
century and is commonly known as epiluminescence microscopy, dermatoscopy, or …

Utilizing deep neural networks for automatic segmentation of skin lesion images represents
a significant advancement in current research. The issue of class imbalance poses a major …

Skin surface imaging has been used to examine skin lesions with a microscope for over a
century and is commonly known as epiluminescence microscopy, dermatoscopy, or …

U-net is an image segmentation technique developed primarily for medical image analysis
that can precisely segment images using a scarce amount of training data. These traits …

Skin lesions represent a category of dermatological conditions where timely and accurate
analysis is crucial for preventing malignancy. Assessing the symmetry of a lesion is a critical …

This review of the literature covers more than 100 research articles from reputed journals,
conferences, and workshops proceedings and offers a thorough examination of skin lesion …

Nowadays, COVID-19 infections are influencing our daily lives which have spread globally.
The major symptoms' of COVID-19 are dry cough, sore throat, and fever which in turn to …