The deadliest type of skin cancer is melanoma. Melanocytes are the cells where cancerous
growths take place. The cells create melanin pigment, which gives skin its color. Sun …

Skin cancer is one of the deadliest types of all cancers and melanoma is the severest form of
it. In this paper, we have used three state-of-the-art deep convolutional neural network …

Skin cancer is a major public health problem requiring computer aided diagnosis to reduce
the burden of disease's high incidence ratio and the associated expenses by assisting …

Representing around 80% of breast cancer, Invasive Ductal Carcinoma is the most common
type of breast cancer. In this work, we have proposed a self-attention GRU model to detect …

Breast thermography is a promising medical imaging technique for the detection of breast
cancer. However, providing a robust and portable computer-aided diagnostic system for …

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 …

Nowadays, in the medical sector, Deep Learning methods act as a dynamic character in the
analysis of medical images and identification of diseases. The ease of understanding the …

Skin cancer accounts for approximately half of all cancer cases worldwide, making it one of
the most prevalent types of cancer. Melanoma, which develops from melanocytes that give …

Skin cancer is one of the most common forms of cancer causing millions of deaths around
the world. Recently, many advanced approaches are adopted to detect the lesion with the …

Melanocytic lesions may occur in various areas of the skin and may eventually develop into
malignant tissue types as a result of abnormal tissue growth. Although the gold standard for …