Name
Title | ||
|---|---|---|
Abnormality tracking during video capsule endoscopy using an affine triangular constraint based on surrounding features. |
Abstract | ||
|---|---|---|
The precise tracking of an abnormality in the gastrointestinal tract is useful for medical training purposes. However, the gastrointestinal wall deforms continuously in an unpredictable manner, while abnormalities lack distinctive features, making them difficult to track over continuous frames. To address this problem, we propose a tracking method for capsule endoscopy using the surrounding features of abnormalities. By applying triangular constraints using an affine transformation, we are able to track abnormalities that do not have distinctive features over consecutive image frames. We demonstrate the efficacy of our approach using eight common types of gastrointestinal abnormalities. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s41074-017-0015-6 | IPSJ Trans. Computer Vision and Applications |
Keywords | Field | DocType |
Object tracking, Deformable object, Wireless capsule endoscopy images, Education system, Gastrointestinal | Affine transformation,Computer vision,Gastrointestinal wall,Pattern recognition,Medical training,Abnormality,Video tracking,Artificial intelligence,Capsule endoscopy,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 1 | 1882-6695 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yukiko Yanagawa | 1 | 0 | 1.01 |
| Tomio Echigo | 2 | 348 | 25.41 |
| Hai Vu | 3 | 13 | 6.88 |
| Hirotoshi Okazaki | 4 | 1 | 1.04 |
| Yasuhiro Fujiwara | 5 | 1 | 1.04 |
| Tetsuo Arakawa | 6 | 46 | 6.93 |
| Yasushi Yagi | 7 | 1752 | 186.22 |