Skin cancer is one of the most prevalent and deadly types of cancer. Dermatologists
diagnose this disease primarily visually. Multiclass skin cancer classification is challenging …

Skin cancer is among the most common and lethal cancer types, with the number of cases
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …

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 …

Background Use of artificial intelligence to identify dermoscopic images has brought major
breakthroughs in recent years to the early diagnosis and early treatment of skin cancer, the …

We carry out a critical assessment of machine learning and deep learning models for the
classification of skin tumors. Machine learning (ML) algorithms tested in this work include …

Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …

Skin diseases are common health problems around the world. The perils of the infections
are invisible, which cause physical health distress as well as initiate mental depression. In …

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 …

Skin Lesion detection and classification are very critical in diagnosing skin malignancy.
Existing Deep learning-based Computer-aided diagnosis (CAD) methods still perform poorly …

Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of
people every year. Early SC detection can increase the survival rate for patients up to 70 …