Background Transfer learning (TL) with convolutional neural networks aims to improve
performances on a new task by leveraging the knowledge of similar tasks learned in …

Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Deep learning (DL) based semantic segmentation methods have been providing state-of-the-
art performance in the last few years. More specifically, these techniques have been …

Deep learning (DL)-based semantic segmentation methods have been providing state-of-
the-art performance in the past few years. More specifically, these techniques have been …

Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin
cancer by computerized systems. However, automatic segmentation of skin lesions in …

Melanoma is deadly skin cancer. There is a high similarity between different kinds of skin
lesions, which lead to incorrect classification. Accurate classification of a skin lesion in its …

Segmentation is essential for medical image analysis to identify and localize diseases,
monitor morphological changes, and extract discriminative features for further diagnosis …

Skin diseases remain a major cause of disability worldwide and contribute approximately
1.79% of the global burden of disease measured in disability-adjusted life years. In the …

Melanoma skin cancer is one of the most deadly forms of cancer which are responsible for
thousands of deaths. The manual process of melanoma diagnosis is a time taking and …