Segmentasi pada Citra Panoramik Gigi dengan Metode Two-Stage SOM dan T-CLUSTER

ULTIMA Computing

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Title Segmentasi pada Citra Panoramik Gigi dengan Metode Two-Stage SOM dan T-CLUSTER
Creator Umam, Khoirul
Putro, Fidi Wincoko
Pratamasunu, Gulpi Qorik Oktagalu
Description Segmentation on medical image requires good quality due to affect the interpretation and diagnosis of medical experts. On medical image segmentation, there is merging phase to increase the quality of the segmentation result. However, stopping criteria on merging phase was determined manually by medical experts. It implied the subjectivity of segmentation result. To increase the objectivity of segmentation result, a method to automate merging phase on medical image segmentation is required. Therefore, we propose a novel method on medical image segmentation which combine two-stage SOM and T-cluster method. Experiments were performed on dental panoramic as medical image sample and evaluated by using segmentation quality formula. Experiments show that the proposed method can perform segmentation on dental panoramic image automatically and objectively with the best average of segmentation quality value is 4,40.
Publisher Jurnal Sistem Komputer
ULTIMA Computing
Date 2014-06-01
Type info:eu-repo/semantics/article
Artikel yang dipeer-review
Format application/pdf
Source Jurnal Sistem Komputer; Vol 6, No 1 (2014): Ultima Computing
ULTIMA Computing; Vol 6, No 1 (2014): Ultima Computing
Language ind
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