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TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images

Overview of attention for article published in Frontiers in Artificial Intelligence, April 2022
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5 X users

Citations

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Readers on

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79 Mendeley
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Title
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images
Published in
Frontiers in Artificial Intelligence, April 2022
DOI 10.3389/frai.2022.827299
Pubmed ID
Authors

Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref, Haiyue Liu

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 11%
Student > Master 8 10%
Student > Bachelor 8 10%
Lecturer 5 6%
Researcher 4 5%
Other 8 10%
Unknown 37 47%
Readers by discipline Count As %
Computer Science 10 13%
Nursing and Health Professions 6 8%
Engineering 5 6%
Business, Management and Accounting 3 4%
Medicine and Dentistry 3 4%
Other 9 11%
Unknown 43 54%