Improving image quality on pediatric and neonatal radiography using AI-based compensation for image degradation
The AI-based noise reduction technique improved the image quality of pediatric and neonatal chest and abdominal radiography significantly.
Authors
- Daigo Suzuki
- Takao Tanuma
- Atsushi Hiroishi (ORCID: https://orcid.org/0000-0001-9691-8817)
- Hidefumi Mimura (ORCID: https://orcid.org/0000-0002-5205-6394)
- Atsuko Fujikawa
- Yuki Saito (ORCID: https://orcid.org/0000-0002-8193-9575)
- Yuichi Sasaki
- So Ode (ORCID: https://orcid.org/0009-0004-5083-5812)
Institutions
- St. Marianna University School of Medicine (JP)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1007/s11604-025-01775-9
- Citations
- 1
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36