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