| dc.creator |
Kalkan, Habil |
|
| dc.creator |
Nap, Marius |
|
| dc.creator |
Duin, Robert P. W. |
|
| dc.creator |
Loog, Marco |
|
| dc.date |
2012-01-01T01:00:00Z |
|
| dc.date.accessioned |
2021-12-03T11:38:58Z |
|
| dc.date.available |
2021-12-03T11:38:58Z |
|
| dc.identifier |
9bcd6742-ab8a-4667-abd7-a5d9e473c7b5 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/9bcd6742-ab8a-4667-abd7-a5d9e473c7b5/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/93584 |
|
| dc.description |
An automated histology analysis is proposed for classification of local image patches of colon histopathology images into four principle classes: normal, cancer, adenomatous and inflamed classes. Shape features based on stroma, lumen and imperfectly segmented nuclei are combined with texture features for classification. The classification is analyzed under the three scenarios: normal vs. abnormal, cancer vs. non-cancer and four-class classification on a labeled dataset consisting of 2000 patches per class which were collected from 55 different slices. The proposed method achieves 79.28% mean accuracy between normal and abnormal; 87.67% accuracy between cancer and non-cancer and 75.15% between the four classes with equal class priories. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Automated Classification of Local Patches in Colon Histopathology |
|
| dc.type |
info:eu-repo/semantics/conferenceObject |
|