| 11981 |
Creator |
a24bbc435842501b299a0cab95582592 |
| 11981 |
Creator |
ext-558c8919f2d01780644a515e9a2e0315 |
| 11981 |
Creator |
ext-93de40f6ca8a37a2dec8a725b67c01dd |
| 11981 |
Creator |
ext-d10c0ba3af0a6237a45c803703362742 |
| 11981 |
Date |
2004 |
| 11981 |
Is Part Of |
p03029743 |
| 11981 |
Is Part Of |
repository |
| 11981 |
abstract |
We describe our experiments for the Image CLEF medical retrieval task. Our efforts
were focused on the initial visual search. A content-based approach was followed.
We used texture, localisation and colour features that have been proven by previous
experiments. The images in the collection had specific characteristics. Medical images
have a formulaic composition for each modality and anatomic region. We were able to
choose features that would perform well in this domain. Tiling a Gabor texture feature
to add localisation information proved to be particularly effective. The distances
from each feature were combined with equal weighting. This smoothed the performance
across the queries. The retrieval results showed that this simple approach was successful,
with our system coming third in the automatic retrieval task. |
| 11981 |
authorList |
authors |
| 11981 |
presentedAt |
ext-205fd202295401c6af84ae99b6ccae8a |
| 11981 |
status |
peerReviewed |
| 11981 |
volume |
3491 |
| 11981 |
type |
AcademicArticle |
| 11981 |
type |
Article |
| 11981 |
label |
Howarth, Peter; Yavlinsky, Alexei; Heesch, Daniel and Rüger, Stefan (2004). Medical
image retrieval using texture, locality and colour. In: Lecture Notes in Computer
Science, 3491 pp. 740–749. |
| 11981 |
label |
Howarth, Peter; Yavlinsky, Alexei; Heesch, Daniel and Rüger, Stefan (2004). Medical
image retrieval using texture, locality and colour. In: Lecture Notes in Computer
Science, 3491 pp. 740–749. |
| 11981 |
Title |
Medical image retrieval using texture, locality and colour |
| 11981 |
in dataset |
oro |