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Negative / Null Result ReportOpen accessDentistry· cited by 177

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

Hyunwoo Yang; Eun Jo; Hyung Jun Kim; Hyung Jun Kim; In–Ho Cha; Young‐Soo Jung; Woong Nam; Jun‐Young Kim · 2020 · Journal of Clinical Medicine

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

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 f

Abstract by Hyunwoo Yang; Eun Jo; Hyung Jun Kim; Hyung Jun Kim; In–Ho Cha; Young‐Soo Jung; Woong Nam; Jun‐Young Kim, Journal of Clinical Medicine (2020) — licensed CC BY 4.0.

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Metadata source: OpenAlex · DOI 10.3390/jcm9061839