Boosted Learning of Visual Word Weighting Factors for Bag-of-Features Based Medical Image Retrieval

Author(s):  
Jingyan Wang ◽  
Yongping Li ◽  
Ying Zhang ◽  
Honglan Xie ◽  
Chao Wang
2016 ◽  
Vol 177 ◽  
pp. 75-88 ◽  
Author(s):  
Fan Zhang ◽  
Yang Song ◽  
Weidong Cai ◽  
Alexander G. Hauptmann ◽  
Sidong Liu ◽  
...  

Author(s):  
Syed Tanzeem Ahmed ◽  
Dr. Nikhat Raza

Technological advances have evolved in all the directions including the biomedical, because of which a record number of lives are saved every day. The advancement has now surpassed the tools level, now the doctors with the help of new tools can also detect diseases, which saves the response time. In this paper, we will work on one such technique which will help in retrieving the similar type of images with the help of their features. In this paper, the features such as Texture features, LBP features, Retrieval feature, which are processed with hash coding and relevance feedback to get the final results. The framework provides the output utilizing a hash coding classifiers which predict the image from the database of the images. The images are classified on a global level with the help of multiple low-level features.


2021 ◽  
Vol 69 ◽  
pp. 101981
Author(s):  
Jiansheng Fang ◽  
Huazhu Fu ◽  
Jiang Liu

Sign in / Sign up

Export Citation Format

Share Document