In the recent decade, deep learning has taken lead over available analysis techniques.
Today's deep learning is used in diversified sectors like health care, traffic management …

The health care sector is totally different from any other industry. It is a high priority sector
and consumers expect the highest level of care and services regardless of cost. The health …

Recently, usage of image processing in machine learning (ML) is growing fast. Medical
image processing, image segmentation, computer-aided diagnosis, image transformation …

Deep learning techniques have rapidly become important as a preferred method for
evaluating medical image segmentation. This survey analyses different contributions in the …

Image segmentation is crucial for various research areas. Many computer vision
applications depend on segmenting images to understand the scene, such as autonomous …

Deep learning has attracted great attention in the medical imaging community as a
promising solution for automated, fast and accurate medical image analysis, which is …

Deep learning models have become the province of cutting-edge machine learning models
that are widely used in medical imaging in multiple kinds of ranging from image recognition …

The use of AI models in health care system and the life sciences is expanding. In this paper,
we will take a look at the present state of the art and address the unanswered issues …

With the advent of new technologies in artificial intelligence and machine learning, the
medical community has taken a strong notice of the potential of these technologies for …

Deep learning algorithms have lately risen to prominence as the primary tool for processing
medical images. These algorithms are suitable for solving these image processing problems …