Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Algorithm for image recognition for early detection of Malignant Melanoma

Reference number
Coordinator Gnosco AB
Funding from Vinnova SEK 1 381 275
Project duration November 2017 - October 2019
Status Completed
Venture Digital health

Purpose and goal

The project aim was, together with Karolinska Hospital and KTH, to develop and implement an AI decision support tool for diagnosis of melanoma. The goal was to develop an algorithm based on dermatoscopic images, and then test the algoritm in a clinical set-up. A model of an image recognition algorithm was developed and integrated. An important part of the project was to sort and structure data and images to develop the algorithms. Also, to plan for next stage of development.

Expected results and effects

An algorithm with 90% accuracy was developed and implementation of this in Dermicus platform was carried out. The clinical flow of developed algorithms was tested through the platform and verified that the technology works. But it was also found that more flexible presentation of the results is required for it to be fully usable. E.g. support the skin consultants by providing diagnostic suggestions with probability of diagnosis. The project has led to a better understanding and what is needed in future in algorithm development and data quality.

Planned approach and implementation

WP1 was a preparation phase where the requirements for the algorithms were specified and the data structured. Under WP2 conducted development, sorting of data, implementation and testing. WP3 was the analysis and summary phase. An important aspect of getting AI algorithms with high accuracy is having a structured data and diagnostic verified images. Structuring of data has therefore been ongoing during a larger part of the project and it provided a better basis for further development of the algorithms. Results has been presented at, eg. Vitalis 2019.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 26 February 2020

Reference number 2017-04646

Page statistics