Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm

Image segmentation is a crucial aspect of clinical decision making in medicine, and as such, it has greatly enhanced the sustainability of medical care. Consequently, biomedical image segmentation has become a prominent research area in the field of computer vision. With the advent of deep learning,...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of personalized medicine Vol. 13; no. 9; p. 1298
Main Authors:	Khouy, Mohammed, Jabrane, Younes, Ameur, Mustapha, Hajjam El Hassani, Amir
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 25.08.2023 MDPI
Subjects:	Accuracy Algorithms Automation Datasets Decision making Deep learning Design Genetic algorithms Genetic research Image processing Literature reviews Liver Machine learning Machine vision Medical imaging Medical imaging equipment Medical research Mutation Neural networks Optimization Precision medicine Semantics Germany
ISSN:	2075-4426, 2075-4426
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!