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.
Mendeley readers
| Title |
Automatic small bowel tumor diagnosis by using multi-scale wavelet-based analysis in wireless capsule endoscopy images
|
|---|---|
| Published in |
BioMedical Engineering OnLine, January 2012
|
| DOI | 10.1186/1475-925x-11-3 |
| Pubmed ID | |
| Authors |
Daniel C Barbosa, Dalila B Roupar, Jaime C Ramos, Adriano C Tavares, Carlos S Lima |
| Abstract |
Wireless capsule endoscopy has been introduced as an innovative, non-invasive diagnostic technique for evaluation of the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the output of this technique is an 8 hours video, whose analysis by the expert physician is very time consuming. Thus, a computer assisted diagnosis tool to help the physicians to evaluate CE exams faster and more accurately is an important technical challenge and an excellent economical opportunity. |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Czechia | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 3 | 5% |
| Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 27% |
| Medicine and Dentistry | 11 | 19% |
| Computer Science | 6 | 10% |
| Chemistry | 3 | 5% |
| Arts and Humanities | 2 | 3% |
| Other | 1 | 2% |
| Unknown | 20 | 34% |