Global-Local Attention Network for Weakly Supervised Cervical Cytology ROI Analysis-Reference-Cited by-同舟云学术

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Global-Local Attention Network for Weakly Supervised Cervical Cytology ROI Analysis

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
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Author:

Shi Jun¹,Wu Kun¹,Zheng Yushan²,He Yuxin¹,Li Jun³,Jiang Zhiguo³,Yu Lanlan⁴

Affiliation:

1. Hefei University of Technology,School of Software,Hefei,China

2. Beihang University,School of Engineering Medicine,Beijing,China

3. Beihang University,Image Processing Center, School of Astronautics,Beijing,China

4. Motic (Xiamen) Medical Diagnostic Systems Co. Ltd.,Xiamen,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761640.pdf?arnumber=9761640

Reference11 articles.

1. Region of Interest Identification for Cervical Cancer Images

2. Saliency-Driven System With Deep Learning for Cell Image Classification

3. Data-efficient and weakly supervised computational pathology on whole-slide images

4. An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification

5. Diagnostic Regions Attention Network (DRA-Net) for Histopathology WSI Recommendation and Retrieval

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