Abstract Machine learning algorithms are progressively assuming an important role as a
computational tool to support clinical diagnosis, namely in the classification of pigmented …

Melanoma can prove fatal if not diagnosed at early stage. The accuracy of identification of
skin cancer from dermoscopic images is directly proportional to the accuracy of the skin …

In recent years the environment in which we are living become rougher by nature
continuously which seems to create several problems to human beings where one of the …

Skin tumour is defined as the enormous growth of cells in the skin. The aim is to design
standalone application for diagnosis of skin tumours. The dermal images of three different …

Skin tumour is uncontrolled growth of skin cells which may be cancerous. The aim is to
develop computer aided diagnosis for skin tumours. The dermal images of three types such …

This research is proposed a design of architecture for melanoma (a kind of skin cancer)
recognition by using a Convolutional Neural Network (CNN), work that will be useful for …

Dermoscopy is a non-invasive, widely used diagnostic tool that aids the diagnosis of skin
lesions and is proven to increase the accuracy of melanoma diagnosis. If the melanoma is …

Skin malignancy is the most well-known reason for death among people. Skin disease is
unusual development of skin cells frequently creates on body presented to the daylight, yet …

Malignant melanoma is one of the most fatal forms of skin cancer. It has also become
increasingly common, especially among white-skinned people exposed to the sun. Early …

Detection of skin cancer in the earlier stage is very critical. Nowadays, skin cancer is seen as
one of the most hazardous form of cancers found in humans. The most common types of skin …