Skin cancer is considered a dangerous type of cancer with a high global mortality rate.
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …

One of the most critical steps in medical health is the proper diagnosis of the disease.
Dermatology is one of the most volatile and challenging fields in terms of diagnosis …

Skin Cancer is one of the most widespread forms of cancer in the world which can be
detected using dermatoscopic images. In this paper, a texture based feature extraction …

Skin Cancer is the most common form of the disease and is responsible for millions of
deaths each year. Most of the relevant studies concentrate on algorithms that are based on …

Humans are affected by some diseases due to ageing, which raises the necessity of
effective healthcare operation schemes. Such techniques are necessary to provide …

This study introduces a novel deep learning-based approach for skin cancer diagnosis and
treatment planning to overcome existing limitations. The proposed system employs a series …

A dynamic two‐level artificial neural network (DTLANN) approach is used for the estimation
of parameters in combined mode conduction–radiation heat transfer in a porous medium …

Detection of melanoma in the early stage can provide the patients with more promising
treatments. Numerous methods have been proposed for detecting melanoma using …

Since melanoma spreads swiftly throughout the body, it is typically a deadly form of skin
cancer. Only when skin cancer is discovered early on is it usually treatable. In order to do …

Skin is a most essential and extraordinary part of the human structure. Exposure to
chemicals such as nitrates, sunlight, arsenic, and UV rays due to pollution and depletion of …