Osteoporosis Detection using Important Shape-Based Features of The Porous Trabecular Bone on The Dental X-Ray Images

Uzumaki, N (2015) Osteoporosis Detection using Important Shape-Based Features of The Porous Trabecular Bone on The Dental X-Ray Images. Skripsi thesis, UTY.

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Abstract

Osteoporosis screening using dental X-Ray images has been growing an interesting research. Existing methods for osteoporosis screening have been peformed using the dental peripiacal or panoramic in X-Ray images. There were limited research using both the periapical and panoramic due to the expensive cost of obtaining data. This paper presents a combination of the periapical and panoramic images for osteoporosis detection. The images processing methods were performed to obtain the shape-based features of the porous trabecular bone on both the dental radiograph images. The important features were selected from the extracted features. These selected features were choosen for osteoporosis detection using decision tree. The quantitative evaluation used confusion matrix. It were found accuracy rate to be 73.33%, sensitivity rate to be 72.23, and spesificity rate to be 72.23% for data testing.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Skripsi)
Subjects: Q Science > QA Mathematics > QA76 Computer software
R Medicine > RK Dentistry
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: INF FTIE-UTY
Date Deposited: 06 Nov 2017 03:32
Last Modified: 06 Nov 2017 03:32
URI: http://eprints.uty.ac.id/id/eprint/34

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