Detection of three-rooted mandibular first molars on panoramic radiographs using deep learning
Long Jin, Ying Tang, Wenyuan Zhou, Bingbing Bai, Zezheng Yu, Panpan Zhang, Yongchun Gu · 2024
Read Detection of three-rooted mandibular first molars on panoramic radiographs using deep learning by Long Jin, Ying Tang, Wenyuan Zhou, Bingbing Bai, Zezheng Yu, Panpan Zhang, Yongchun Gu (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11621352.txt.
Description
Long Jin and co-authors teach nets to spot three-root teeth in jaw scans, checked next to depth scans. The study appeared in 2024. The extra root shapes care for that tooth, and flat scans can hide it. Depth scans show it clear but cost more.
Seven hundred plus sick folks gave flat and depth scans of near one thousand five hundred teeth. Five net kinds learned the split, with the depth read as truth. The best net hit a top score with true calls past four in five. Thin cuts of the tooth sank all nets' work. Two staff readers set the man bar for the test.
Catalog record
| CREATOR | Long Jin, Ying Tang, Wenyuan Zhou, Bingbing Bai, Zezheng Yu, Panpan Zhang, Yongchun Gu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |