Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detection.

Saved in:
Bibliographic Details
Title: Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detection.
Authors: Ohno Y; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp.; Joint Research Laboratory of Advanced Medical Imaging and Artificial Intelligence, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp., Ozawa Y; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Ueda T; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Nomura M; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Joint Research Laboratory of Advanced Medical Imaging and Artificial Intelligence, Fujita Health University School of Medicine, Toyoake, Japan., Yazawa N; Canon Medical Systems Corporation, Otawara, Japan., Shinohara M; Canon Medical Systems Corporation, Otawara, Japan., Yamamoto K; Canon Medical Systems Corporation, Otawara, Japan., Sano Y; Canon Medical Systems Corporation, Otawara, Japan., Ikedo M; Canon Medical Systems Corporation, Otawara, Japan., Ozaki M; Canon Medical Systems Corporation, Otawara, Japan., Yui M; Canon Medical Systems Corporation, Otawara, Japan., Harada S; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan., Takeda S; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan., Iwase A; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan., Yoshikawa T; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Radiology, Fujita Health University Bantane Hospital, Nagoya, Japan., Takenaka D; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Radiology, Fujita Health University Okazaki Medical Center, Okazaki, Japan.
Source: European radiology [Eur Radiol] 2026 May; Vol. 36 (5), pp. 4165-4176. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1084
DOI:10.1007/s00330-025-12153-4