Combining attention mechanisms and residual networks for automatic multi-disease diagnosis of bone scan images-Reference-Cited by-同舟云学术

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Combining attention mechanisms and residual networks for automatic multi-disease diagnosis of bone scan images

Published:2023-04-07 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Computer Engineering and Application (ICCEA)
language:
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Author:

Peng Lisen¹,Cao Yongchun²,Tao Peili³,Man Zhengxing²,He Yang¹,Feng Qianyu¹,Lin Qiang²

Affiliation:

1. Northwest Minzu University,Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education,Lanzhou,China

2. School of Mathematics and Computer Science Northwest Minzu University,Lanzhou,China

3. Tibet Police College,Department of Management,Lhasa,China

Funder

Natural Science Foundation of Gansu Province

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134761/10135179/10135321.pdf?arnumber=10135321

Reference25 articles.

1. Survey of medical image segmentation technology based on U-Net structure improvement;yin;J Softw,2021

2. Classifying functional nuclear images with convolutional neural networks: a survey

3. Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application

4. A Survey of Deep Learning-Based Object Detection

5. Synergizing medical imaging and radiotherapy with deep learning

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