The worldwide incidence of skin cancer has risen rapidly in the last decades, becoming one
in three cancers nowadays. Currently, a person has a 4% chance of developing melanoma …

Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …

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 …

Skin cancer has been one of the major worldwide public health issue with more than 1
million cases every year. Skin cancer is classified into three categories: Basal Cell …

Skin cancer is a concerning health issue with yearly increasing numbers. Detecting and
classifying cancer type is problematic, especially since patients have to undergo several …

Convolutional Neural Networks (CNNs) have the potential to assist medical doctors in
diagnosis and treatment stage. This paper has been prepared to help dermatologists by …

Magnetic resonance imaging (MRI) is the imaging technique used to diagnosing brain tumor
disease. Early diagnosis of brain tumors is an essential task in medical work to find out …

Deep learning architectures, especially deep convolutional neural networks (CNN) achieve
high accuracy on object classification and localization tasks. Achieving such high accuracy …

Conventional chemotherapeutic drugs are used for cancer management, but recently
nanoparticles have also been shown to contribute towards controlling cancer cell …

Python is one of the most widely adopted programming languages, having replaced a
number of those in the field. Python is popular with developers for a variety of reasons, one …