重庆大学主页平台管理系统 Yongming Li--Home-- Automatic Knee Cartilage Segmentation Using Multi-Feature Support Vector Machine and Elastic Region Growing for Magnetic Resonance Images

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

Automatic Knee Cartilage Segmentation Using Multi-Feature Support Vector Machine and Elastic Region Growing for Magnetic Resonance Images

Hits:

Affiliation of Author(s):微电子与通信工程学院

Journal:JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS

Key Words:Knee Cartilage; Multi-Feature Support Vector Machine; Elastic Region Growing; Automatic Segmentation; MRI

First Author:王品

Co-author:何璇,李勇明,朱雪茹,陈伟,邱明国

Indexed by:Journal paper

Document Code:144329

Volume:6

Issue:4

Page Number:9

ISSN No.:2156-7018

Date of Publication:2016-01-01

Pre One:Classification of Parkinson's disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples

Next One:SAR image despeckling via the classification-based non-local clustering