Pengembangan Ekstraksi dalam Identifikasi Kelainan Gigi pada Citra Dental X-ray imaging (DXRI)

Sumijan, Sumijan

doi:10.35134/komtekinfo.v9i1.283

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…Meanwhile, DXRI is an imaging technique related to tooth growth, soft tissue, tooth loss, bone framework, fangs, and the implementation of root canal treatment. This technique has a crucial role in detecting possible abnormalities the tooth structure that cannot observed during a clinical examination by a dentist (Sumijan, 2022).…”

Section: Resultsmentioning

confidence: 99%

Dental X-Ray Radiation Exposure in Radioprotection Cases and Dental Images Repeatability Factors

Amir,

Yunus,

Kurniasari

et al. 2024

EDUPROXIMA

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This research was carried out using a literature review method to determine radioprotection cases and repeatability factors of dental images on dental X-rays. Determination of the repeatability factor for dental photographs using data over three months obtained at Rajawali Citra Hospital, RSUD Dr. Tjitrowardojo Purworejo, and RSUD Muntilan Magelang. Case A, case B, and case C produce high percentage values. This is because dental practitioners consider the provision of protection in reducing the scattered dose of dental X-rays for patients to be often overlooked. Determination of X-ray radiation exposure given by a radiographer does not have significant differences for each patient, such as thin, standard, and obese. Meanwhile, the data on the percentage value of repetition of dental images exceeds the Minimum Hospital Service Standard indicator limit by the Decree of the Minister of Health Number 129 of 2008 concerning the incidence of X-ray service failure, which has a photo failure standard of ≤ 2%. The highest position factor was obtained at Hospital-2 at 75%, and the lowest was obtained at Hospital-1 at 50%. Meanwhile, the highest exposure factor was obtained at Hospital-1 at 39% and the weakest at Hospital-2 at 25%. Position errors made by the radiographer cause position factors, and exposure errors are caused by exposure factors that are too high or low.

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Section: Resultsmentioning

confidence: 99%

Dental X-Ray Radiation Exposure in Radioprotection Cases and Dental Images Repeatability Factors

Amir,

Yunus,

Kurniasari

et al. 2024

EDUPROXIMA

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show abstract

“…Tahapan ini adalah menghitung luas area jantung normal dan tidak normal dari citra biner putih yang telah dibersihkan dari noise, menggunakan algoritma. Algoritma tersebut disajikan dalam bentuk pengembangan proses ekstraksi dalam identifikasi kelainan gigi [29]. Adapun algoritma tersebut disajikan pada Algoritma 1.…”

Section: Hitung Luas Area Jantungunclassified

Teknik Segmentasi untuk Mengidentifikasi Kelainan Jantung pada Citra Rontgen Dada

Aldi

Sumijan

2022

komtekinfo

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The annual death toll from heart disease is 17.5 million people. Currently, heart disease is a prevalent condition that kills a lot of people and shortens people's lives. Life is based on the work of the heart, since the heart is a much-needed part of our body where life is impossible. Heart disease affects heart function and can lead to death or annoy the patient before deathThe use of contemporary medical imaging methods like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), as well as X-rays, is now commonplace. These methods enable non-invasive qualitative and quantitative assessment of the anatomical structure and function of the heart and support diagnosis, disease monitoring, treatment planning, and prognosis. The purpose of this study is to find heart problems in patients. The data used in this study were chest X-rays of patients with normal heart conditions and chest X-rays of abnormal heart patients obtained from the kaggle website. Segmentation techniques are used to process these cardiac images. Segmentation is the process of separating between an object and another object or between objects and the background contained in an image. Then the calculation of the area of the heart area is carried out using the extraction of morpological and regional features method characteristics with an algorithm that has been developed. The results of this study can identify heart defects through the process of measuring the area of the heart normal and abnormal. So that it produces a good accuracy rate of 85%. This segmentation technique is proven to be very good so that it can be a medical reference to perform further medical actions against abnormalities in the heart.

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Pengembangan Ekstraksi dalam Identifikasi Kelainan Gigi pada Citra Dental X-ray imaging (DXRI)

Cited by 2 publications

References 28 publications

Dental X-Ray Radiation Exposure in Radioprotection Cases and Dental Images Repeatability Factors

Dental X-Ray Radiation Exposure in Radioprotection Cases and Dental Images Repeatability Factors

Teknik Segmentasi untuk Mengidentifikasi Kelainan Jantung pada Citra Rontgen Dada

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