Abstract
This paper reviews image analysis approaches developed within the DESIREE European project for the implementation of a decision support system (DSS) for breast cancer. These include robust algorithms for image segmentation, classification and imaging biomarker extraction, as well as a solution for the simulation of surgery outcomes, including a breast reconstruction module and a mechanical and healing model. These algorithms are integrated into the DSS to assist clinicians dealing with the heterogeneous information generated during the course of the disease.
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Acknowledgements
This research was undertaken as part of the Decision Support and Information Management System for Breast Cancer (DESIREE) project. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 690238.
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García, M.I. et al. (2019). Advanced Image Processing Algorithms for Breast Cancer Decision Support and Information Management System. In: Chen, YW., Zimmermann, A., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-13-8566-7_14
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