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Medical Devices
Medical Devices
New Medical Imaging Innovation from Casio
Casio Obtains U.S. FDA Clearance for DERMOCAMERA™ and Scope for skin observation
Our Mission
- Vision : Support patients with early detection
- Mission : Support doctors’ consultations by providing service / hardware utilizing imaging technology
- Value : Improve accuracy & Efficiency of medical care
Volume attention.
What is D'z IMAGE?
Image-based diagnostics innovations through medical-engineering collaboration
Based on its R&D concept of "reaching reality through imaging technology," Casio has formed medical-engineering collaboration that leverage its long history of ground-breaking image processing technology to generate innovations in image-based diagnostics.
Our goal is to make meaningful contributions to medicine and to society more broadly by developing solutions that will not only provide patients with more accurate and effective examinations, but also help physicians in clinical settings to work more effectively and make earlier diagnoses.
News from CASIO
・Press release
- September 27, 2018
Casio to Launch English Version of Online Dermoscopy Learning Services for Physicians
- February 19, 2020
Three Casio Products Win iF Design Award 2020
- October 22, 2020
Casio to Exhibit Medical Camera for Global Market at virtual.MEDICA 2020
- January 26, 2021
Casio to Release DERMOCAMERATM, Allowing Dermatologists to Capture Close-up and Ordinary Shots of Affected Areas Using a Single Device
- March 29, 2021
Casio Announces Acquisition of ISO 13485 Certification by Yamagata Casio
・Exhibition & Meeting
- 2022 AAD Annual Meeting
Our Booth Number #3754
Partnership
By applying Casio’s original core digital image conversion technology to dermoscopy and establishing structural enhancement conversion and blood vessel enhancement conversion technologies based on the extensive case data provided by Tokyo Women's Medical University coupled with the knowledge of our two consulting doctors, we have succeeded in creating new dermoscopy images. In images of structures such as melanocytic lesions, this reveals vessel distribution patterns and lesion structures that are difficult to identify in normal dermoscopy and allows them to be observed. This makes it much easier to interpret dermoscopy findings than was previously the case. By comparing and contrasting original and converted dermoscopy images, the colors and forms in lesions can readily be observed and their features identified.
Head of Dermatology at the Tokyo Women's Medical University, Adachi Medical Center
Professor Masaru Tanaka
Joint development of image analysis tools
Evaluation of dermocamera
Director of Sato Dermatology Clinic
Dr. Toshitsugu Sato
Joint development of image analysis tools
Evaluation of dermocamera
To learn about dermoscopic examination, it is essential to refer to large amounts of high-quality case data. D'z IMAGE provides access to dermoscopy imagery stored at Chiba University Hospital and Shinshu University Hospital, and publishes them as case data with their associated findings and other data. As new case data is added in the future, the services will be further improved so that this case data can prove useful in various different forms for learning, promoting the even more widespread use and progress of dermoscopy.
Senior Lecturer, Department of Dermatology, Chiba University Hospital
Dr. Yaei Togawa
Providing case data
Joint development of dermocamera
Assistant Professor, Department of Dermatology, Chiba University Graduate School of Medicine
Dr. Yosuke Yamamoto
Providing case data
Joint development of dermocamera
Senior Lecturer, Department of Dermatology, Shinshu University School of Medicine
Dr. Hiroshi Koga
Providing case data
Joint development of image management software
Evaluation of dermocamera
Joint development of an AI-based diagnostic support system
Assistant Professor, Department of Dermatology, Shinshu University School of Medicine
Dr. Akane Minagawa
Providing case data
Joint development of image management software
Evaluation of dermocamera
Joint development of an AI-based diagnostic support system
AI Diagnosis Support
*ISBI : International Symposium on Biomedical Imaging
*ISIC : International Standard Industrial Classification of All Economic Activities
*AMED : Japan Agency for Medical Research and Development
ISBI’s Link https://biomedicalimaging.org/2017/challenges/
AMED’s Link https://www.amed.go.jp/en/
March 19, 2021：
2019：
“Skin cancer diagnostic solutions development using imaging data” research project, conducted jointly with Shinshu University, listed by the AMED as a “Project for Medical Device and Healthcare”.
2017：
Secured the highest score in the “ISBI Challenge 2017/Skin Lesion Analysis Towards Melanoma Detection/Part 3: Lesion Classification” organized by the ISIC.
2016：
Commence the technological development for an AI-based skin cancer diagnostic support system in collaboration with Shinshu University.