CORRECTING and REPLACING KYOCERA Begins Research in AI-based Image Recognition to Help Diagnose Skin Diseases and Cancers via Smartphone

KYOTO, Japan–()–Fifth paragraph, first sentence of launch dated August 29, 2017, ought to learn: The venture advantages from a database of greater than 20,00zero medical pictures… (as a substitute of The venture advantages from a database of greater than 200 medical pictures…).

The corrected launch reads: 

KYOCERA BEGINS RESEARCH IN AI-BASED IMAGE RECOGNITION TO HELP DIAGNOSE SKIN DISEASES AND CANCERS VIA SMARTPHONE

Collaboration with University of Tsukuba to develop AI-based picture recognition for eHealth functions to diagnose pores and skin ailments; venture targets commercialization by 2020

Kyocera Corporation (NYSE:KYO)(TOKYO:6971) introduced right this moment that its subsidiary, Kyocera Communication Systems Co., Ltd. (hereafter “KCCS”), has began joint analysis with the University of Tsukuba to develop an Artificial Intelligence (AI) system able to detecting melanoma and different pores and skin ailments by analyzing digital pictures of a affected person’s pores and skin. The staff goals to commercialize the expertise by 2020.

Background

Recent developments in AI, picture recognition, and IT infrastructure are facilitating nice advances in the power to analyze digital pictures. In the medical area, the place digital imaging is already an important diagnostic software, AI-based picture recognition provides revolutionary potential. Diagnosing pores and skin ailments from digital pictures utilizing AI will supply nice benefits over typical practices, which now usually rely upon the information and expertise of a doctor.

In Japan, the variety of pores and skin most cancers sufferers has roughly doubled*1 from 1999 by way of 2014. Japan’s Ministry of Health, Labour and Welfare has recognized AI as a key expertise in the healthcare and medical sector. Because pores and skin most cancers remedy outcomes are considerably improved by early analysis, higher diagnostic applied sciences are in nice demand.

Overview of the Joint Research

KCCS is now working with Professor Manabu Fujimoto and Assistant Professor Yasuhiro Fujisawa (each of the Department of Dermatology, Faculty of Medicine, University of Tsukuba) to develop an image-recognition system correct sufficient to distinguish a number of kinds of pores and skin malignancies, together with melanoma. The subsequent part of their venture will goal for image-based diagnostic assist of any pores and skin illness. In addition to serving to dermatology specialists, AI-based picture recognition might permit correct diagnoses in rural and distant areas missing a neighborhood clinician, utilizing photos from smartphones or digital cameras to drastically enhance healthcare outcomes.

The venture advantages from a database of greater than 20,00zero medical pictures gathered over 20 years by the University of Tsukuba Hospital’s Department of Dermatology. The University’s experiences and information together with these pictures shall be instrumental in assessing image-based diagnostic accuracy in real-world circumstances. Additionally, KCCS will convey distinctive AI-based image-processing experience gathered by way of Labellio — a cloud-based internet service. The service permits any consumer to create a easy “drag-and-drop” picture classifier powered by deep studying.

 

Roles and Timetable

 
KCCS   Development of AI-based picture recognition system
University of Tsukuba   Provision of medical picture database;
Assessment of system accuracy and adaptability
 

KCCS and the University of Tsukuba will conduct joint analysis from March 2017 by way of March 2018, aiming towards a industrial utility in the fiscal yr ending March 2020. Furthermore, they plan to develop a system able to figuring out greater than 2,00zero totally different pores and skin ailments from digital pictures by combining their respective sources and experience in the longer term.

*1 Based on affected person survey by Japan’s Ministry of Health, Labour and Welfare.
Product specs and launch dates are topic to change with out prior discover. All product names and firm names talked about are logos or registered logos of the respective corporations.

About KYOCERA

Kyocera Corporation (NYSE:KYO)(TOKYO:6971) (http://global.kyocera.com/), the mother or father and world headquarters of the Kyocera Group, was based in 1959 as a producer of fine ceramics (also referred to as “advanced ceramics”). By combining these engineered supplies with metals and integrating them with different applied sciences, Kyocera has turn out to be a number one provider of digital gadgets, semiconductor packages, printers, copiers, cell phones, solar energy producing techniques, reducing instruments and industrial elements. During the yr ended March 31, 2017, the corporate’s consolidated web gross sales totaled 1.42 trillion yen (approx. USD12.7 billion). Kyocera seems on the “Top 100 Global Innovators” listing by Clarivate Analytics and is ranked #522 on Forbes journal’s 2017 “Global 2000” listing of the world’s largest publicly traded corporations.

Kyocera Communication Systems Co., Ltd. (KCCS) is a subsidiary of Kyocera Corporation and a supplier of ICT, telecommunications engineering, setting and power engineering and administration consulting companies. For extra data, go to http://www.kccs.co.jp/english/