Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization-Reference-Cited by-同舟云学术

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Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization

Published:2017-11 Issue:11 Volume:27 Page:2450-2460
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Liu Jingjing,Zhang Shaoting^ORCID,Liu Wei,Deng Cheng,Zheng Yuanjie,Metaxas Dimitris N.

Funder

University of North Carolina at Charlotte

Taishan Scholar Program of Shandong Province

Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/8100778/07514951.pdf?arnumber=7514951

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parallel Hierarchical Multi-View Feature Fusion Based on Canonical Correlation Analysis for Mammogram Retrieval;Vietnam Journal of Computer Science;2024-05-14

2. Deep Discriminative Hashing for Cross-Modal Hashing Based Computer-Aided Diagnosis;Lecture Notes in Computer Science;2023

3. Iterative brain tumor retrieval for MR images based on user’s intention model;Pattern Recognition;2022-07

4. Breast Cancer Diagnosis With Mammography;Research Anthology on Medical Informatics in Breast and Cervical Cancer;2022-07-01

5. Deep Semantic Reconstruction Hashing for Similarity Retrieval;IEEE Transactions on Circuits and Systems for Video Technology;2021-01

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