<italic>WSAN</italic>: An Effective Model of Weakly Supervised Similarity Analysis Network for the Lung CT Images

<italic>WSAN</italic>: An Effective Model of Weakly Supervised Similarity Analysis Network for the Lung CT Images

With the rapid advancement of medical imaging technologies, the high-resolution CT image data is becoming increasingly valuable for both medical research and clinical diagnosis. The paper takes lung CT image as an example. Retrieving images similar to the input one can help physicians with clinical...

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Bibliographic Details
Main Authors: Yi Zhuang, Nan Jiang, Shuai Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Content-based retrieval
CT~image
deep learning
similarity retrieval
Online Access:https://ieeexplore.ieee.org/document/9771401/

Internet

https://ieeexplore.ieee.org/document/9771401/

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