Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

Oral cancer is a deadly form of cancerous tumor that is widely spread in low and middle-
income countries. An early and affordable oral cancer diagnosis might be achieved by …

This paper developed a novel melanoma diagnosis model from dermoscopy images using a
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …

Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …

One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Recently, pre-trained deep learning (DL) models have been employed to tackle and
enhance the performance on many tasks such as skin cancer detection instead of training …

The guava plant has achieved viable significance in subtropics and tropics owing to its
flexibility to climatic environments, soil conditions and higher human consumption. It is …

Automatic classification of Lyme disease rashes on the skin helps clinicians and
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …

The prediction of skin cancer poses a number of challenges due to the differences in visual
characteristics between melanoma, basal cell carcinomas, and squamous cell carcinomas …