Application of a pulmonary nodule detection program using AI technology to ultra-low-dose CT: differences in detection ability among various image reconstruction methods

AI-based lung nodule detection in ULDCT is strongly dependent on the choice of image reconstruction method.

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Publication Details

Journal
Japanese Journal of Radiology
Published
2025-05-09
DOI
https://doi.org/10.1007/s11604-025-01781-x
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of a pulmonary nodule detection program using AI technology to ultra-low-dose CT: differences in detection ability among various image reconstruction methods

Yukari Tomori, Ryo Nakachi, Nanae Tsuchiya, Akihiro Nishie et al.
Japanese Journal of Radiology
Lung Cancer Diagnosis and Treatment
article

Application of a pulmonary nodule detection program using AI technology to ultra-low-dose CT: differences in detection ability among various image reconstruction methods

Yukari Tomori, Ryo Nakachi, Nanae Tsuchiya, Akihiro Nishie, Junji Ito, Gyo Iida, Akira Yogi, S. Kobayashi
article en

Abstract

AI-based lung nodule detection in ULDCT is strongly dependent on the choice of image reconstruction method.

Japanese Journal of RadiologyVol. 43(8)
University of the Ryukyus (JP), University of the Ryukyus University Hospital (JP)
Openalex Percentile: Top 85%
Lung Cancer Diagnosis and Treatment
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