Machine learning models are used to create and enhance various disease prediction
frameworks. Ensemble learning is a machine learning technique that combines multiple …

Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …

Early identification of melanocytic skin lesions increases the survival rate for skin cancer
patients. Automated melanocytic skin lesion extraction from dermoscopic images using the …

The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

Deep learning is one of the most effective approaches to medical image processing
applications. Network models are being studied more and more for medical image …

Skin cancer is one of the most prevalent of all cancers. Because of its being widespread and
externally observable, there is a potential that machine learning models integrated into …

Despite the recent advances in immune therapies, melanoma remains one of the deadliest
and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes …

An automatic skin lesion segmentation algorithm not only facilitates the dermatologist's
workload on skin cancer analysis but also provides a platform for early cancer prediction …

Differential diagnosis of malignant melanoma, which is the cause of more than 75% of
deaths amongst skin lesions, is vital for patients. Artificial intelligence-based decision …

Diabetic retinopathy (DR) is currently considered to be one of the most common diseases
that cause blindness. However, DR grading methods are still challenged by the presence of …