Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent
years, which has good applications in medical image analysis. In this paper, DenseNet is …

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 …

Detecting dangerous illnesses connected to the skin organ, particularly malignancy,
requires the identification of pigmented skin lesions. Image detection techniques and …

Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …

Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to
decrease the encumbrance of this widespread disease. Researchers have been more …

Segmentation of skin lesions is a challenging task because of the wide range of skin lesion
shapes, sizes, colors, and texture types. In the past few years, deep learning networks such …

Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …

With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …

Melanoma is amongst the most aggressive form of skin cancer. The manual detection of
melanoma using dermoscopic images is a labor-intensive and time-consuming process …

Skin lesion detection and analysis are very important because skin cancer must be found in
its early stages and treated immediately. Once installed in the body, skin cancer can easily …