As an emerging biomedical image processing technology, medical image segmentation has made great contributions to sustainable medical care. Now it has become an important …
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 …
Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous areas as the first …
XX Yin, L Sun, Y Fu, R Lu… - Journal of healthcare …, 2022 - Wiley Online Library
Deep learning has been extensively applied to segmentation in medical imaging. U‐Net proposed in 2015 shows the advantages of accurate segmentation of small targets and its …
J Moorthy, UD Gandhi - Big Data and Cognitive Computing, 2022 - mdpi.com
Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the …
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 …
Nowadays, medical field is a one with a need for paramount concern and research where medical sciences are at a stage that needs extensive research and technical proposals so …
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 …
IRI Haque, J Neubert - Informatics in Medicine Unlocked, 2020 - Elsevier
The review covers automatic segmentation of images by means of deep learning approaches in the area of medical imaging. Current developments in machine learning …