Spinal Lesions Classification and Localization with ACAT-Net from X-ray Images-Reference-Cited by-同舟云学术

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Spinal Lesions Classification and Localization with ACAT-Net from X-ray Images

Published:2023-12-05 Issue: Volume: Page:1319-1324
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Liu Hongzhi¹,Mai Xiaoli²,Han Junyang¹,Zhu Shiyu¹,Nie Jiacheng¹,Wan Weixuan¹,Zhang Pinzheng¹,Wang Shijie¹,Yu Wenxue¹,Tang Xiaoying³,Xue Cheng¹,Yang Chunfeng¹,Feng Qianjin⁴,Chen Yang¹

Affiliation:

1. Southeast University,School of Computer Science and Engineering,Nanjing,China,210096

2. Nanjing Drum Tower Hospital,Department of Radiology,Nanjing,China,210008

3. Southern University of Science and Technology,College of Engineering,Shenzhen,China,518055

4. Southern Medical University,School of Biomedical Engineering,Guangzhou,China,510515

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385629.pdf?arnumber=10385629

Reference21 articles.

1. The current role of radiography in the assessment of skeletal tumors and tumor-like lesions

2. Deep learning

3. Automatic detection and segmentation of lumbar vertebrae from X-ray images for compression fracture evaluation

4. Attention is all you need;Vaswani;Advances in neural information processing systems,2017

5. End-to-End Object Detection with Transformers

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