Name
Title | ||
|---|---|---|
Combining Color with Spatial and Temporal Position of the Endoscopic Capsule for Improved Topographic Classification and Segmentation |
Abstract | ||
|---|---|---|
� Abstract—Capsule endoscopy is a recent technology with a clear need for automatic tools that reduce the long exam annotation times of exams. We have previously developed a topographic segmentation method, which is now improved by using spatial and temporal position information. Two approaches are studied: using this information as a confidence measure for our previous segmentation method, and direct integrating of this data into the image classification process. These allow us not only to automatically know when we have obtained results with error magnitudes close to human errors, but also to reduce these automatic errors to much lower values. All the developed methods have been integrated in the CapView annotation software, currently used for clinical practice in hospitals responsible for over 250 capsule exams per year, and where we estimate that the two hour annotation times are reduced by around 15 minutes. |
Year | Venue | Keywords |
|---|---|---|
2006 | SAMT (Posters and Demos) | biomedical engineering,index terms— endoscopic capsule,medical imaging,image classification,indexing terms,human error |
Field | DocType | Citations |
Computer vision,Annotation,Pattern recognition,Topographic map,Computer science,Segmentation,Clinical Practice,Software,Artificial intelligence,Contextual image classification,Capsule endoscopy | Conference | 2 |
PageRank | References | Authors |
0.45 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel T. Coimbra | 1 | 151 | 10.52 |
| J. Kustra | 2 | 2 | 0.45 |
| P. Campos | 3 | 47 | 3.13 |
| Silva Cunha, J.P. | 4 | 59 | 18.44 |