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Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs

Authors
 Hyunwoo Yang  ;  Eun Jo  ;  Hyung Jun Kim  ;  In-Ho Cha  ;  Young-Soo Jung  ;  Woong Nam  ;  Jun-Young Kim  ;  Jin-Kyu Kim  ;  Yoon Hyeon Kim  ;  Tae Gyeong Oh  ;  Sang-Sun Han  ;  Hwiyoung Kim  ;  Dongwook Kim 
Citation
 JOURNAL OF CLINICAL MEDICINE, Vol.9(6) : 1839, 2020-06 
Journal Title
 JOURNAL OF CLINICAL MEDICINE 
Issue Date
2020-06
Keywords
YOLO ; artificial intelligence ; computer-assisted diagnosis ; deep learning ; odontogenic cysts ; odontogenic tumor ; panoramic radiography
Abstract
Patients with odontogenic cysts and tumors may have to undergo serious surgery unless the lesion is properly detected at the early stage. The purpose of this study is to evaluate the diagnostic performance of the real-time object detecting deep convolutional neural network You Only Look Once (YOLO) v2-a deep learning algorithm that can both detect and classify an object at the same time-on panoramic radiographs. In this study, 1602 lesions on panoramic radiographs taken from 2010 to 2019 at Yonsei University Dental Hospital were selected as a database. Images were classified and labeled into four categories: dentigerous cysts, odontogenic keratocyst, ameloblastoma, and no cyst. Comparative analysis among three groups (YOLO, oral and maxillofacial surgeons, and general practitioners) was done in terms of precision, recall, accuracy, and F1 score. While YOLO ranked highest among the three groups (precision = 0.707, recall = 0.680), the performance differences between the machine and clinicians were statistically insignificant. The results of this study indicate the usefulness of auto-detecting convolutional networks in certain pathology detection and thus morbidity prevention in the field of oral and maxillofacial surgery.
Files in This Item:
T202002594.pdf Download
DOI
10.3390/jcm9061839
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Radiology (영상치의학교실) > 1. Journal Papers
2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Surgery (구강악안면외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Wook(김동욱) ORCID logo https://orcid.org/0000-0001-6167-6475
Kim, Jun-Young(김준영) ORCID logo https://orcid.org/0000-0002-6596-6135
Kim, Jin-Kyu(김진규)
Kim, Hyung Jun(김형준) ORCID logo https://orcid.org/0000-0001-8247-4004
Nam, Woong(남웅) ORCID logo https://orcid.org/0000-0003-0146-3624
Jung, Young Soo(정영수) ORCID logo https://orcid.org/0000-0001-5831-6508
Cha, In Ho(차인호) ORCID logo https://orcid.org/0000-0001-8259-2190
Han, Sang Sun(한상선) ORCID logo https://orcid.org/0000-0003-1775-7862
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/179368
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