The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning
|
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Published in |
Gene Expression Patterns, November 2022
|
DOI | 10.1016/j.gep.2022.119289 |
Pubmed ID | |
Authors |
Anh-Cang Phan, Hung-Phi Cao, Thi-Nguu-Huynh Le, Thanh-Ngoan Trieu, Thuong-Cang Phan |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 13% |
Unspecified | 1 | 7% |
Researcher | 1 | 7% |
Student > Master | 1 | 7% |
Unknown | 10 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Computer Science | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Unknown | 11 | 73% |