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All Journal Acman: Accounting and Management Journal SmartComp
Kodariyah, Mangzilatul
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Library & Information Science

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Application Of The ROI (Region Of Interest) Color Method Using A Bounding Box Approach To Detect Caries On Dental Images Suhendi, Hendi; Kodariyah, Mangzilatul
Acman: Accounting and Management Journal Vol. 3 No. 2 (2023): Acman: Accounting and Management Journal
Publisher : Center of Research, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/aj.v3i2.73

Abstract

Caries detection system on radiographic image detection is widely used in medicine, especially dentistry. Dentists currently perform caries detection. It becomes less accurate in determining the diagnosis because of the limitations of human vision, then needs something to help the system detect dental caries in the image. This system could be used more effectively and efficiently than with manual detection. Detection of the dots is one of the high-contrast detection caries (tooth unhealthy) and could be one substitute detection manually by a dentist. Teeth image processed with some image processing stages such as grayscale, binarization with men over image into two values​​: black and white, morphology (thresholding) bright object floating on a dark background, ROI (Region of Interest) Color, and bounding box approach (to label images which has a white contrast to facilitate detection). Image of the tooth that has been grayscale and binarization, then do the ROI (Region of Interest) with the Color Boundingbox approach. Training results using test data 10 tooth image system has an accuracy rate of 80% is good enough.
Aplikasi Metode ROI (Region Of Iinterest) Color Menggunakan Pendekatan Boundingbox Untuk Mendeteksi Karies Pada Citra Gigi Kodariyah, Mangzilatul; Suhendi, Hendi; Ramady, Givy Devira
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 2 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i2.6583

Abstract

Sistem pendeteksian karies pada citra radiografi merupakan salah satu pendeteksian yang banyak digunakan dalam dunia kedokteran, khususnya kedokteran gigi. Pendeteksian karies yang saat ini dilakukan oleh dokter gigi masih secara manual, Hal ini menjadi kurang akurasinya dalam menentukan diagnosa karena keterbatasan penglihatan manusia. Maka dibutuhkan sesuatu sistem untuk dapat membantu pendeteksian karies pada citra gigi. Sistem ini bisa digunakan lebih efektif dan efisien dibanding dengan pendeteksian secara manual. Deteksi berupa titik-titik kontras tinggi merupakan salah satu pendeteksian adanya karies (gigi tidak sehat) dan bisa dijadikan salah satu pengganti pendeteksian secara manual oleh dokter gigi. Citra gigi diolah dengan beberapa tahap pengolahan citra seperti grayscale, binerization dengan menkoversi gambar menjadi dua nilai yaitu hitam dan putih, morfologi (thresholding) pengambangan objek terang pada background gelap, ROI (Region of Interest) Color, dan pendekatan boundingbox (memberi label pada citra yang memiliki kontras putih untuk mempermudah pendeteksian). Citra gigi yang sudah digrayscale dan dibinerisasi kemudian dilakukan proses ROI (Region of Interest) Color dengan pendekatan Boundingbox. Hasil pelatihan dengan menggunakan data uji 10 citra gigi memiliki tingkat akurasi sistem cukup baik yaitu 80%
Co-Authors Givy Devira Ramady Hendi Suhendi