Shimadzu Review Vol.80[1・2](2023)
Medical Imaging Technologies


Improving the Efficiency of R/F System Applications by Deep Learning

by Ryo TakedaAoi ShinjoNaoya FuruhashiMiyu Muto

Shimadzu Review 80[1・2] (2023)


Along with the recent development of AI technology, image processing technology has made rapid progress. Shimadzu has been actively developing and introducing AI technology with the aim of improving the usability of medical imaging equipment, the quality of captured images, and inspection workflows. This article presents attempts to improve the efficiency of two image processing applications in the SONIALVISION G4 R/F system: the T-smart tomosynthesis application and the SmartBMD bone density measurement application.

Research & Development Department, Medical Systems Division, Shimadzu Corporation, Kyoto, Japan

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