Big Data and Machine Learning Applications for Advanced Image and Data Analysis in Medicine (Prof. Neumuth)
Lately, the use of high-performance AI-based algorithms for data analysis and image reconstruction is required in the clinical field. Though, in relation to medical AI, there is an urgent need for suitable training data, international benchmarking as well as technical and methodical framework conditions. Our objective is therefore a modular analysis pipeline for multimodal medical data consisting of imaging data as well as other data. This pipeline approach thereby comprises ML-based preprocessing, feature extraction and classification. Our research will be focused on Hyperspectral Imaging (HSI), which combines imaging with spectroscopy.