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Medical Image Analysis Lab
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The lab analyzes medical images with deep learning to support diagnosis.
AboutAbout the lab
A lab for medical AI and medical image analysis.
The Medical Image Analysis Lab studies medical AI and medical image analysis.
The lab applies artificial intelligence techniques to medical images and works on developing technologies that support diagnosis.
Its research themes cover many parts of the body and many types of examinations, including the brain, heart, chest, skeleton, and nuclear medicine.
The lab also works on teaching and developing MATLAB programming, which underpins medical image analysis.
Key terms
- Medical image
- An image of the inside of the body taken for diagnosing disease, such as an X-ray radiograph, CT, or MRI
- Deep learning
- A machine learning method that learns features from many examples using neural networks with many stacked layers
- Segmentation
- Processing that separates and extracts regions such as organs or lesions from an image
- MATLAB
- A programming language, along with its development environment, widely used for numerical computation and image processing
NewsLab news
View More ↗ResearchResearch themes
The lab applies artificial intelligence techniques to medical images to develop technologies that support diagnosis. It also works on analyses that extract new quantitative values from medical images and on developing medical image analysis methods through programming.
*Illustrative imageApplying AI to medical images
The lab conducts AI research that applies deep learning to medical images, covering image classification, object detection, segmentation, and regression.
*Illustrative imageExtracting quantitative information from images
The lab studies how to extract information that can be expressed numerically from medical images, such as TIC analysis and other quantitative analyses.
*Illustrative imageProgramming with MATLAB
The lab teaches and develops MATLAB programming, which supports its research on medical image analysis and AI.
MembersFaculty
The members of the Medical Image Analysis Lab are faculty, master's students, fourth-year undergraduate students, and researchers and research students.As of 2023
- Associate ProfessorHiroyuki Sugimori
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: “Radiologist interpreting MRI” The Medical Futurist editors. / CC BY 4.0 (cropped)
- Applying AI to medical images: “Chest Xray PA 3-8-2010” Stillwaterising / CC0 (cropped)
- Extracting quantitative information from images: “Radiologist viewing computed tomography” Bill Branson (photographer) / Public domain (cropped)
- Programming with MATLAB: “MATLAB QUIVER DEMO” MrAlanKoh / CC BY-SA 4.0 (cropped)
- Related lab (Social Medical Informatics Lab): “Satellite image of Hokkaido, Japan in May 2001” NASA / Public domain (cropped)
- Related lab (Brain Function Measurement Lab): “MEG UCHSC” Katie Youngpeter. / CC BY-SA 3.0 (cropped)
- Related lab (Takashima Lab): “Wilhelm-Roentgen's-X-ray-photograph-of-his-wife's-hand” Wilhelm Conrad Röntgen / Public domain (cropped)
- Related lab (Kamishima Lab): “Knee MRI T1 TSE Sagittal” Ptrump16 / CC BY-SA 4.0 (cropped)
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