In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …

With an increased number of medical data generated every day, there is a strong need for
reliable, automated evaluation tools. With high hopes and expectations, machine learning …

Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …

Deep Learning approaches for automatic segmentation of organs from CT scans and MRI
are providing promising results, leading towards a revolution in the radiologists' workflow …

Due to the lack of available annotated medical images, accurate computer-assisted
diagnosis requires intensive data augmentation (DA) techniques, such as …

Transfer learning techniques are recently preferred for the computer aided diagnosis (CAD)
of variety of diseases, as it makes the classification feasible from limited training dataset. In …

Breast cancer ranks among the leading causes of death for women globally, making it
imperative to swiftly and precisely detect the condition to ensure timely treatment and …

Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …

Chest X-ray is the most commonly adopted non-invasive and painless diagnostic test for
pediatric pneumonia. However, the low radiation levels for diagnosis make accurate …

Deep learning has become a thriving force in the computer aided diagnosis of liver cancer,
as it solves extremely complicated challenges with high accuracy over time and facilitates …