Cervical Cell Classification Using Multi-Scale Feature Fusion and Channel-Wise Cross-Attention-Reference-Cited by-同舟云学术

Cervical Cell Classification Using Multi-Scale Feature Fusion and Channel-Wise Cross-Attention

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Shi Jun¹,Zhu Xinyu¹,Zhang Yuan¹,Zheng Yushan²,Jiang Zhiguo³,Zheng Liping¹

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

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/ielx7/10230311/10230322/10230475.pdf?arnumber=10230475

Reference19 articles.

1. Sipakmed: A New Dataset for Feature and Image Based Classification of Normal and Pathological Cervical Cells in Pap Smear Images

2. Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy

3. Very deep convolutional networks for large-scale image recognition;simonyan;3rd International Conference on Learning Representations ICLR 2015 San Diego CA USA May 7-9 2015 Conference Track Proceedings,2015

4. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

5. Classification of Cervical-Cancer Using Pap-Smear Images: A Convolutional Neural Network Approach

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