[Retracted] Deep Neural Networks for Medical Image Segmentation

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 …

A review of deep-learning-based medical image segmentation methods

X Liu, L Song, S Liu, Y Zhang - Sustainability, 2021 - mdpi.com
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 using deep learning: A survey

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 techniques for medical image segmentation: achievements and challenges

MH Hesamian, W Jia, X He, P Kennedy - Journal of digital imaging, 2019 - Springer
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 …

[Retracted] U‐Net‐Based Medical Image Segmentation

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 …

A Survey on medical image segmentation based on deep learning techniques

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 …

A review on the use of deep learning for medical images segmentation

M Aljabri, M AlGhamdi - Neurocomputing, 2022 - Elsevier
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 using deep learning techniques in medical images

M Mittal, M Arora, T Pandey, LM Goyal - Advancement of machine …, 2020 - Springer
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 …

Variability and reproducibility in deep learning for medical image segmentation

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 …

[HTML][HTML] Deep learning approaches to biomedical image segmentation

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 …