Project: Self-learning decision support tool for fast and accurate cancer evaluation in digital pathology

By leveraging the technical benefits of deep learning algorithms and clinical outcome references, this project aims to streamline diagnosis, drug development and education in regards to cancer. The project result will promote disruptive change within digital pathology and facilitate a broad-scale conversion; from manual histopathology image analysis based on individual assessments to automatic histopathology image analysis based on learning algorithms and clinical outcome.

Acronym SLDESUTO-BOX (Reference Number: 9653)
Duration 01/08/2015 - 01/08/2018
Project Topic Biological Sciences / Technologies
Network Eurostars 2
Call Eurostars Cut-Off 3

Project partner

Number Name Role Country
21206 Contextvision AB Coordinator Sweden
21207 University of Applied Sciences Western Switzerland Partner Switzerland