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 …

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 …

According to Skin Cancer Foundation, skin cancer is by far the most common type of cancer
in the United States and worldwide. Early diagnosis of skin cancer is critical because proper …

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 …

Skin lesion segmentation is an important step in computer aided diagnosis for automated
melanoma diagnosis. However, in the field of medical images analysis, skin lesion …

For dermatoscopic skin lesion images, deep learning-based algorithms, particularly
convolutional neural networks (CNN), have demonstrated good classification and …

Skin cancer is a silently killing disease which commonly goes unnoticed in its primitive stage
but proves to be deadly later on. Hence, it needs to be detected and classified in the early …

Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

Early detection of skin cancer, particularly melanoma, is crucial to enable advanced
treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of …