Attention feature fusion methodology with additional constraint for ovarian lesion diagnosis on magnetic resonance images-Reference-Cited by-同舟云学术

Attention feature fusion methodology with additional constraint for ovarian lesion diagnosis on magnetic resonance images

Published:2022-08-29 Issue:1 Volume:50 Page:297-310
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Wang Shuai¹,Xu Xiaojuan²,Du Huiqian³,Chen Yan²,Mei Wenbo¹

Affiliation:

1. School of Information and Electronics Beijing Institute of Technology Beijing China

2. Department of Diagnostic Imaging National Cancer Center National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

3. School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15937

Reference48 articles.

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3. A deep convolutional neural network approach for detecting malignancy of ovarian cancer using densenet model;Wadhwa G;Ann Romanian Soc Cell Biol,2021

4. Accuracy of magnetic resonance imaging in ovarian tumor: a systematic quantitative review

5. Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging

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