Skin cancer is one of the world's most hazardous diseases, and identification of skin cancer
is more challenging. Recently Deep learning algorithms have evolved to produce …

In the last few years, Deep Learning (DL) has been showing superior performance in
different modalities of bio-medical image analysis. Several DL architectures have been …

In the last few years, Deep Learning (DL) has been showing superior performance in
different modalities of biomedical image analysis. Several DL architectures have been …

Cancer is one of the most severe forms of disease that adversely threaten human life in
recent years. Considering different categories of cancer, skin cancer seems to be a high risk …

Background Skin cancer is a life-threatening disease, and early detection of skin cancer
improves the chances of recovery. Skin cancer detection based on deep learning algorithms …

Skin cancer is one of the most dangerous types of cancers that affect millions of people
every year. The detection of skin cancer in the early stages is an expensive and challenging …

Skin lesion segmentation has become an essential recent direction in machine learning for
medical applications. In a deep learning segmentation network, the convolutional neural …

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 …

Automatic skin lesion segmentation is one of the most important tasks for computer-aided
diagnosis of skin cancer. Although many deep learning-based methods have been …

Skin cancer is the most commonly found kind of cancer with eight diagnostic classes, which
makes its classification highly challenging. Recent years have witnessed the increased …