LAB LOGA page on LabLog, a review site (not the lab's official page)
Quantum Information Science Lab
Machine-translated · View original
A lab that supports diagnosis and treatment with medical AI and image analysis.
AboutAbout the lab
Supporting diagnosis and treatment with artificial intelligence.
The Arimura Lab studies diagnosis and treatment systems that use artificial intelligence.
Its keywords include medical AI, radiomics, medical image analysis, machine learning, and medical physics.
The lab's website lists papers that analyze CT, MR, and pathology images to build prediction models related to the diagnosis of cancer and other diseases and to radiation therapy.
International students are also enrolled.
Key terms
- Radiomics
- Radiomics: a method of extracting a large number of features from medical images as numerical values and analyzing them
- Machine learning
- Machine learning: a method in which a computer learns patterns from data and uses them for prediction and classification
- Radiation therapy
- Radiation therapy: a method of treating cancer and other lesions by directing radiation at them
NewsLab news
A paper on a model that classifies three types of lung nodules from CT images was accepted by Health and Technology
A master's student received a Research Encouragement Award at the Cancer Professional Training Plan trainee research presentation meeting
A paper analyzing pathology images of prostate cancer using fractal dimension was published in Biophysics and Physicobiology
A paper on predicting the risk of enucleation from pretreatment images of uveal melanoma was published in Strahlentherapie und Onkologie
A paper on a mathematical model describing the growth of early-stage lung cancer tumors was published in Health and Technology
ResearchResearch themes
The Arimura Lab focuses on diagnosis and treatment systems that use artificial intelligence, and works on analyzing medical images of cancer and other diseases. It uses a radiation therapy planning system to delineate tumor contours and plan treatment.
View More ↗MembersFaculty
The members of the Arimura Lab consist of faculty, doctoral, master's, and undergraduate students, and research students.As of 2026
- ProfessorHidetaka Arimura
- Associate ProfessorMakoto Sakai
- Assistant ProfessorYui Kanzaki
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Quantum Information Science Lab
Quantum Technology Science LabFaculty of Medical Sciences, Department of Health SciencesIn basic radiation science: education and research on the ge…
Quantum Image Analysis LabFaculty of Medical Sciences, Department of Health SciencesEducation and research on clinical topics in medical radiolo…
Quantum Functional Therapeutic Science LabFaculty of Medical Sciences, Department of Health SciencesEducation and research on clinical topics in medical radiolo…
Quantum Imaging Technology LabFaculty of Medical Sciences, Department of Health SciencesEducation and research on clinical topics in medical radiolo…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Bron - CERMEP - Salle du scanner TEP-CT de 2010, scanner de face” Romainbehar / CC0 (cropped)
- Related lab (量子技術科学ユニット): “Brachytherapy” Medicalpicture / CC BY 4.0 (cropped)
- Related lab (量子画像解析学ユニット): “CT Spine Back Pain Scan Imaging Navi Mumbai” Goleisureintl / CC BY 4.0 (cropped)
- Related lab (量子機能治療科学ユニット): “PET-CT Siemens Biograph01” Brudersohn / CC BY-SA 3.0 (cropped)
- Related lab (量子画像技術学ユニット): “Dual Energy CT images with gout tophi shown in green” BMJ Publishing Group Limited / CC BY 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.