Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical
oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep …

This research discusses the use of machine learning and deep learning techniques for
cancer detection and screening. The use of machine learning and deep learning algorithms …

An increasing number of genetic and metabolic anomalies have been determined to lead to
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …

Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …

A powerful medical decision support system for classifying skin lesions from dermoscopic
images is an important tool to prognosis of skin cancer. In the recent years, Deep …

One of the most prevalent cancers worldwide is skin cancer, and it is becoming more
common as the population ages. As a general rule, the earlier skin cancer can be …

Although many efforts have been made through past years, skin cancer recognition from
medical images is still an active area of research aiming at more accurate results. Many …

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 …

Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …

Efficient skin cancer detection using images is a challenging task in the healthcare domain.
In today's medical practices, skin cancer detection is a time-consuming procedure that may …