Intelligent Tumor Diagnostics 2
Following the innBW collaborative project "Intelligent Tumor Diagnostics 1", a follow-up project is now continuing work on an AI-based diagnostic system for skin tumors. The project, which involves the innBW institutes FZI, ILM, NMI and Hahn-Schickard Villingen-Schwenningen and Stuttgart, is funded by the Baden-Württemberg Ministry of Economics with 2 million euros. "The joint project of business-related research is a particularly successful example of interdisciplinary cooperation between the institutes of business-related research in the innBW, which receive basic funding from the Ministry of Economic Affairs," commented Minister of Economic Affairs Dr. Nicole Hoffmeister-Kraut at the announcement.
The aim of the project is to develop a diagnostic system that can diagnose malignant melanoma (skin cancer) using artificial intelligence at expert level. This quantitative system should enable improved and more cost-effective diagnoses. The system is also to be further developed in such a way that it can also be used by general practitioners in the long term.
In the previous project, the first promising results for AI-based diagnosis were achieved. However, the amount of training data was not yet sufficient for an accurate diagnosis. Therefore, to improve the prediction accuracy, more training data will be collected in the follow-up project, for which several demonstrators will be operated simultaneously. In this way, the AI models can be created based on training data from multiple sites. Another starting point in the new project is the development of suitable optical systems. This is necessary to correct motion artifacts and reduce the dependence on focus and environment.
The innBW collaborative project has the potential to demonstrate the possibilities of artificial intelligence in the field of diagnostics and is a good example of the diverse collaboration within innBW.
The following innBW institutes are working on the Intelligent Tumor Diagnostics 2 project:
FZI Research Center for Information Technology
Dipl. Wi.-Ing. Jan Wiesenberger
Phone: +49 721 9654-0
Institute of Microassembly Technology
Prof. Dr.-Ing. André Zimmermann
Allmandring 9 b
Phone: +49 711 685-83712
Institute of Micro- and Information Technology
Prof. Dr.-Ing. Alfons Dehé
Phone: +49 7721 943-0
Institute for Laser Technology in Medicine and Measurement Technique
Phone: +49 731 1429-0
Natural and Medical Sciences Institute at the University of Tübingen
Prof. Dr. Katja Schenke-Layland
Phone: +49 7121 51530-0