- Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographs
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Kise Y, Ariji Y, Kuwada C, Fukuda M, Ariji E
- KMID: 2541261
- Imaging Sci Dent.
- 2023 Mar;53(1):27-34.
- doi: 10.5624/isd.20220133
Purpose The aim of this study was to clarify the influence of training with a different kind of lesion on the performance of a target model. Materials and Methods A total of 310... -
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- Effects of 1 year of training on the performance of ultrasonographic image interpretation: A preliminary evaluation using images of Sjögren syndrome patients
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Kise Y, Møystad A, Bjørnland T, Shimizu M, Ariji Y, Kuwada C, Nishiyama M, Funakoshi T, Yoshiura K, Ariji E
- KMID: 2527052
- Imaging Sci Dent.
- 2021 Jun;51(2):129-136.
- doi: 10.5624/isd.20200294
Purpose This study investigated the effects of 1 year of training on imaging diagnosis, using static ultrasonography (US) salivary gland images of Sjögren syndrome patients. Materials and Methods This study involved 3 inexperienced... -
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- Optimizing the reconstruction filter in cone-beam CT to improve periodontal ligament space visualization: An in vitro study
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Houno Y, Hishikawa , Gotoh KI, Naitoh M, Mitani A, Noguchi T, Ariji E, Kodera Y
- KMID: 2390085
- Imaging Sci Dent.
- 2017 Sep;47(3):199-207.
- doi: 10.5624/isd.2017.47.3.199
PURPOSE: Evaluation of alveolar bone is important in the diagnosis of dental diseases. The periodontal ligament space is difficult to clearly depict in cone-beam computed tomography images because the reconstruction... -
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