Application of Improved SVM Image Segmentation Algorithm in Computer Tomography Image Analysis
Medical imaging is becoming increasingly important in clinical diagnosis. Ultrasound imaging, computed tomography, magnetic resonance imaging (MRI) and other new medical imaging technology greatly broadens the imaging diagnostic methods. Animal Computer Tomography (CT) imaging, as an animal model, i...
Main Author: | Xinhao Ji |
---|---|
Format: | Article |
Language: | English |
Published: |
Bulgarian Academy of Sciences
2017-03-01
|
Series: | International Journal Bioautomation |
Subjects: | |
Online Access: | http://www.biomed.bas.bg/bioautomation/2017/vol_21.1/files/21.1_05.pdf |
Similar Items
-
Extensions of the SVM Method to the Non-Linearly Separable Data
by: Luminita STATE, et al.
Published: (2013-01-01) -
An Improved Intrusion Detection Algorithm Based on GA and SVM
by: Peiying Tao, et al.
Published: (2018-01-01) -
Spectral-Similarity-Based Kernel of SVM for Hyperspectral Image Classification
by: Ke Wang, et al.
Published: (2020-07-01) -
An efficient algorithm to improve the accuracy and reduce the computations of LS-SVM
by: Mojtaba Baymani, et al.
Published: (2020-04-01) -
Enhancing SVM for survival data using local invariances and weighting
by: Hector Sanz, et al.
Published: (2020-05-01)