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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Mendeley readers
| Title |
Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning
|
|---|---|
| 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% |