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Nomura Lab
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A lab that researches software supporting diagnostic imaging using medical images.
AboutAbout the lab
Supporting diagnostic imaging with software.
The Nomura Lab analyzes medical images such as CT and MRI and researches technologies that support diagnostic imaging.
To reduce the burden on physicians and improve diagnostic accuracy, the lab develops computer-aided diagnosis/detection (CAD) software.
The lab also works on prediction methods that combine image information with clinical information to support decisions on treatment plans for individual patients.
Key terms
- Computer-aided diagnosis/detection (CAD)
- A system in which a computer analyzes medical images to assist physicians in interpreting them.
- Lung nodule
- A small shadow inside the lung that appears on chest CT images.
- Cerebral aneurysm
- A bulge, like a small balloon, in part of a blood vessel in the brain. It is searched for on head MRA images.
ResearchResearch themes
The lab aims to analyze CT and MRI images in order to reduce physicians' workload in diagnostic imaging while improving diagnostic accuracy. It develops CAD software, as well as prediction methods that support treatment decisions using clinical and image information.
*Illustrative imageDeveloping CAD software
As medical diagnostic imaging equipment advances, the number of images per examination keeps increasing year by year. The lab has developed CAD software for detecting lung nodules in chest CT images, cerebral aneurysms in head MRA images, and hemorrhage in contrast-enhanced CT images. It also works on methods for continuously improving performance, with an eye to what happens after the software is put into practical use.
*Illustrative imagePrediction to support treatment decisions
Deciding on a treatment plan requires a comprehensive assessment of the disease state, patient background, imaging findings, and more. The lab develops prediction methods that support patient-specific decisions from clinical and image information, working on topics such as prognosis prediction for primary lung cancer and invasion prediction for choosing the surgical procedure in ovarian cancer.
MembersFaculty
The members of the Nomura Lab are faculty and students in the doctoral program, master's program, and undergraduate program.As of 2026
- Associate ProfessorYukihiro Nomura
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “US Navy 051128-N-2115M-047 Hospital Corpsman 2nd Class Stephanie Regalado assigned to the David R. Ray Health Center's Radiology department looks over a x-ray” U.S. Navy photo by Photographer's Mate 2nd Class Shaun McWhinney / Public domain (cropped)
- Developing CAD software: “CT Scan General Illustration” Ptrump16 / Public domain (cropped)
- Prediction to support treatment decisions: “Hospital room ubt” Tomasz Sienicki [user: tsca, mail: tomasz.sienicki at gmail.com] / Public domain (cropped)
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医用画像工学研究室): “X-ray Computed Tomography of Astromaterials -- jsc2024e076997” NASA Johnson Space Center / ROBERT MARKOWITZ NASA-JSC / Public domain (cropped) - Related lab (システム数理教育研究分野): “AMD3101E” Mister rf / CC BY-SA 4.0 (cropped)
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