GV Selvi, TG Kumar, VS Kumari, SD Aksatha… - Deep Learning in … - taylorfrancis.com
In recent years, significant advancements in image segmentation have been made. The accuracy of segmentation has seen a ground-breaking improvement thanks to recent …
A Hussein, W Abd-Elhafiez, E Zanaty… - … University Journal of …, 2023 - aujst.journals.ekb.eg
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 …
R Wang, T Lei, R Cui, B Zhang, H Meng… - IET image …, 2022 - Wiley Online Library
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 …
F Renard, S Guedria, ND Palma, N Vuillerme - Scientific Reports, 2020 - nature.com
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 …
P Malhotra, S Gupta, D Koundal… - Journal of …, 2022 - Wiley Online Library
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 …