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Automatic Polyp Detection System

Sector: Commercial • Location: Israel

Source: EU Funding & Tenders Portal

Project
Ended

The World Cancer Research Fund estimates the colorectal cancer to be the third-most occurring form of cancer around the world. In 2012, more than 1 Million people were diagnosed with colorectal cancer. These incidences of colorectal cancer have boosted demand for their diagnostics worldwide. In fact, colon cancer screening has increased greatly in first world countries with mature health care deli

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The project “Automatic Polyp Detection System” is an infrastructure initiative in the Commercial sector, located in Israel. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Description

Description

The World Cancer Research Fund estimates the colorectal cancer to be the third-most occurring form of cancer around the world. In 2012, more than 1 Million people were diagnosed with colorectal cancer. These incidences of colorectal cancer have boosted demand for their diagnostics worldwide. In fact, colon cancer screening has increased greatly in first world countries with mature health care delivery systems. Despite this progress the problem of undetected or missed polyps during colonoscopy procedures remains a significant problem: about 8 -10% of the CR cancer cases, resulting in more than 44,500 of preventable cancer in Europe annually. MagentiqEye has developed an Automatic Polyp Detection System (the APDS) which uses mainly Deep Learning and Computer Vision techniques in order to detect the polyps which appear on the physician screen during the test. APDS is an AI system which works as additional eye, helping doctors to detect polyps. This decision support system can improve the quality and performance (less miss-rete) of the colonoscopy test, having a high impact in the prevention of cancer. MagentiqEye seeks funding to conduct a feasibility study to prove technical and commercial viability, conducting an analytical exercise to position the product. The objective is to test the economic viability of the system among a larger pool of potential clients (user-acceptance), and to assess if the chosen commercialisation approach will be conducive of the projected growth on the European level.

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High

Data quality score

100%

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