Comparison of Multi-Label U-Net and Mask R-CNN for panoramic radiograph segmentation to detect periodontitis

Comparison of Multi-Label U-Net and Mask R-CNN for panoramic radiograph segmentation to detect periodontitis

Purpose: Periodontitis, the most prevalent chronic inflammatory condition affecting teeth-supporting tissues, is diagnosed and classified through clinical and radiographic examinations. The staging of periodontitis using panoramic radiographs provides information for designing computer-assisted diag...

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Bibliographic Details
Main Authors: Widyaningrum, Rini, Candradewi, Ika, Aji, Nur Rahman Ahmad Seno, Aulianisa, Rona
Format: Article
Language:English
Published: Korean Academy of Oral and Maxillofacial Radiology 2022
Subjects:
Periodontics
Dentistry
Online Access:https://repository.ugm.ac.id/283618/1/Comparison%20of%20Multi-Label%20U-Net%20and%20Mask%20R-CNN%20for%20panoramic%20radiograph%20segmentation%20to%20detect%20periodontitis.pdf

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https://repository.ugm.ac.id/283618/1/Comparison%20of%20Multi-Label%20U-Net%20and%20Mask%20R-CNN%20for%20panoramic%20radiograph%20segmentation%20to%20detect%20periodontitis.pdf

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