Automatic classification of medical X‐ray images using a bag of visual words
A novel approach is presented to gain high classification rate for each class of ImageCLEF 2007 medical database. The learning phase consists of four iterations where different classification models were generated as per iteration. For the iterations, a model generation process was performed in two...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-04-01
|
Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2012.0291 |