MAMMO1 SIGNED
Deep learning for mammography: Improving accuracy and productivity in breast cancer diagnosis.
Total Cost €
0EC-Contrib. €
0Partnership
0Views
0MAMMO1 project word cloud
Explore the words cloud of the MAMMO1 project. It provides you a very rough idea of what is the project "MAMMO1" about.
Project "MAMMO1" data sheet
The following table provides information about the project.
| Coordinator |
KHEIRON MEDICAL TECHNOLOGIES LTD
Organization address contact info |
| Coordinator Country | United Kingdom [UK] |
| Project website | https://www.kheironmed.com/meet-mia |
| Total cost | 71˙429 € |
| EC max contribution | 50˙000 € (70%) |
| Programme |
1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies) |
| Code Call | H2020-SMEInst-2018-2020-1 |
| Funding Scheme | SME-1 |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-01-01 to 2019-04-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | KHEIRON MEDICAL TECHNOLOGIES LTD | UK (LONDON) | coordinator | 50˙000.00 |
Map
Project objective
Breast cancer is one of the main causes of death among women worldwide. Early diagnosis by mammography scanning is the best way to prevent mortality, but it requires the intervention of a highly trained workforce (radiologists). While the demand for radiologists is on the rise, the supply is quickly diminishing worldwide. This leads to long waiting lists and delays in getting a diagnosis, negatively affecting quality of services and ultimately survival rates. There is a strong need for tools that help radiologists make accurate decisions on mammography images in less time. CAD-based systems were developed to address this need; however, they have very low specificity, which leads to a high number of false positives, unnecessarily increasing the recall rates, and raising doubts about their usefulness. Mammo1 will be a game-changer in the area of breast cancer diagnosis by applying ground-breaking machine learning techniques, which are able to outperform all the currently marketed CAD-based solutions and even single radiologists.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MAMMO1" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "MAMMO1" are provided by the European Opendata Portal: CORDIS opendata.