During the last few years, medical image segmentation using deep learning has become the
most active research area in computer vision. Effectively, researchers become more and …

In recent years, significant advancements in image segmentation have been made. The
accuracy of segmentation has seen a ground-breaking improvement thanks to recent …

Medical image segmentation has greatly increased healthcare sustainability. It is currently a
major research area in the field of computer vision. The many artefacts inherent in medical …

Deep learning has been widely used for medical image segmentation and a large number of
papers has been presented recording the success of deep learning in the field. A …

Medical image segmentation is a vital task in medical imaging, aiming to extract meaningful
and precise information from images. While traditional methods have been extensively used …

This chapter aims at providing an introduction to deep learning-based medical image
segmentation. First, the reader is guided through the inherent challenges of medical image …

As an emerging biomedical image processing technology, medical image segmentation has
made great contributions to sustainable medical care. Now it has become an important …

Medical image segmentation is an important tool for current clinical applications. It is the
backbone of numerous clinical diagnosis methods, oncological treatments and computer …

Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …

Image segmentation is a branch of digital image processing which has numerous
applications in the field of analysis of images, augmented reality, machine vision, and many …