Title | ||
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Size-scalable content-based histopathological image retrieval from database that consists of WSIs. |
Abstract | ||
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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 Zheng | 1 | 34 | 6.11 |
Zhiguo Jiang | 2 | 321 | 45.58 |
Haopeng Zhang | 3 | 47 | 14.75 |
Fengying Xie | 4 | 182 | 15.33 |
Yibing Ma | 5 | 31 | 4.41 |
Shi Huaqiang | 6 | 3 | 0.38 |
Yu Zhao | 7 | 20 | 2.74 |