Your browser doesn't support javascript.
loading
Research on brain image segmentation based on deep learning / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 721-729, 2020.
Article in Chinese | WPRIM | ID: wpr-828113
ABSTRACT
Brain image segmentation algorithm based on deep learning is a research hotspot at present. In this paper, firstly, the significance of brain image segmentation and the content of related brain image segmentation algorithm are systematically described, highlighting the advantages of brain image segmentation algorithms based on deep learning. Then, this paper introduces current brain image segmentation algorithms based on deep learning from three aspects the brain image segmentation algorithms based on problems existent to brain image, the brain image segmentation algorithms based on prior knowledge guidance and the application of general deep learning models in brain image segmentation, so as to enable researchers in relevant fields to understand current research progress more systematically. Finally, this paper provides a general direction for the further research of brain image segmentation algorithm based on deep learning.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Image Processing, Computer-Assisted / Brain / Magnetic Resonance Imaging / Neural Networks, Computer / Deep Learning Language: Chinese Journal: Journal of Biomedical Engineering Year: 2020 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Main subject: Image Processing, Computer-Assisted / Brain / Magnetic Resonance Imaging / Neural Networks, Computer / Deep Learning Language: Chinese Journal: Journal of Biomedical Engineering Year: 2020 Type: Article