Simple Summary This review examines the latest technologies using machine learning (ML)
methods, including the use of convolutional neural networks, decision trees, and generative …

Early detection of skin cancer from skin lesion images using visual inspection can be
challenging. In recent years, research in applying deep learning models to assist in the …

The recent 'Mpox'outbreak, formerly known as 'Monkeypox', has been a significant public
health concern and spread to over 110 countries globally. The challenge of clinically …

Ensemble learning aims to improve prediction performance by combining several models or
forecasts. However, how much and which ensemble learning techniques are useful in deep …

Skin cancer stands as one of the foremost challenges in oncology, with its early detection
being crucial for successful treatment outcomes. Traditional diagnostic methods depend on …

This paper aims to present a comprehensive review of advanced techniques and models
with a specific focus on deep neural network (DNN) for resource-constrained environments …

Background With rising incidence of skin cancer and relatively increased mortality rates, an
improved diagnosis of such a potentially fatal disease is of vital importance. Although …

Colorectal image classification is a novel application area in medical image processing.
Colorectal images are one of the most prevalent malignant tumour disease type in the world …

Transfer learning allows us to exploit knowledge gained from one task to assist in solving
another but relevant task. In modern computer vision research, the question is which …

Skin cancer is the most annoying type of cancer diagnosis according to its fast spread to
various body areas, so it was necessary to establish computer-assisted diagnostic support …