Title
Size-scalable content-based histopathological image retrieval from database that consists of WSIs.
Abstract
Content-based image retrieval (CBIR) has been widely researched for histopathological images. It is challenging to retrieve contently similar regions from histopathological whole slide images (WSIs) for regions of interest (ROIs) in different size. In this paper, we propose a novel CBIR framework for database that consists of WSIs and size-scalable query ROIs. Each WSI in the database is encoded i...
Year
DOI
Venue
2018
10.1109/JBHI.2017.2723014
IEEE Journal of Biomedical and Health Informatics
Keywords
Field
DocType
Binary codes,Proposals,Feature extraction,Informatics,Image retrieval,Encoding
Ranking,Pattern recognition,Information retrieval,Computer science,Binary code,Image retrieval,Feature extraction,Pixel,Artificial intelligence,Database,Scalability,Encoding (memory)
Journal
Volume
Issue
ISSN
22
4
2168-2194
Citations 
PageRank 
References 
3
0.38
0
Authors
7
Name
Order
Citations
PageRank
Yushan Zheng1346.11
Zhiguo Jiang232145.58
Haopeng Zhang34714.75
Fengying Xie418215.33
Yibing Ma5314.41
Shi Huaqiang630.38
Yu Zhao7202.74