Current position: Home >> Scientific Research >> Paper Publications

An efficient memory reserving-and-fading strategy for vector quantization based 3D brain segmentation and tumor extraction using an unsupervised deep learning network

Release Time:2024-08-28  Hits:

Indexed by: Journal Papers

Document Code: 364232

Date of Publication: 2024-06-18

Journal: COGNITIVE NEURODYNAMICS

Volume: 18

Issue: 3

Page Number: 1097-1118

ISSN: 1871-4080

Key Words: AUTOMATIC SEGMENTATION; CLUSTERING-ALGORITHM; C-MEANS; CNN; CONVOLUTIONAL NEURAL-NETWORKS; IMAGES

Prev One:A deep learning model developed for sleep apnea detection: A multi-center study

Next One:Dynamic Community Detection for Brain Functional Networks During Music Listening With Block Component Analysis