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More than 13,000 UK cancer patients wait too long for treatment due to a diagnostic bottleneck. Detection of metastases in stained lymph-node sections requires large amount of reading time from pathologists; the main liability of the diagnostic bottleneck.
DeepMed IO proposes the implementation of a Deep Learning system for automatic identification of metastatic regions increasing diagnostic accuracy and speed. The system will be implemented as an embeddable module in the accompanying software of Whole Slide Imaging systems as well as a mobile App enabling access to cutting-edge AI diagnostic technology and telemedicine even to remote and underdeveloped regions
| Project | Deep learning powered metastases detection system for digital pathology |
|---|---|
| Description |
More than 13,000 UK cancer patients wait too long for treatment due to a diagnostic bottleneck. Detection of metastases in stained lymph-node sections requires large amount of reading time from pathologists; the main liability of the diagnostic bottleneck. DeepMed IO proposes the implementation of a Deep Learning system for automatic identification of metastatic regions increasing diagnostic accuracy and speed. The system will be implemented as an embeddable module in the accompanying software of Whole Slide Imaging systems as well as a mobile App enabling access to cutting-edge AI diagnostic technology and telemedicine even to remote and underdeveloped regions |
| Funding | £ 894,143 |
| Competition | Competition 13 - Cancer: screening, earlier and faster diagnosis |
| Competition Date | September 2017 |
| Categories | Cancer |
| Health Innovation Network Partner | Health Innovation Manchester |
| Website | https://www.deepmed.io/ |