The ESHI invites you to complete this very interesting survey on Cloud-Based Tumour Characterization. It takes only 5 minutes and of course all submitted data will be treated anonymously.

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More Information

Machine learning is becoming a prominent approach to data analysis in medical imaging and science. Due to the high amount of information and information complexity derived from different biomarker measurements, manual evaluation of such data is unrealistic. Therefore, the application of high-performance, cloud-based decision making models may get into reach. Since higher-level, textural analysis of in-vivo images is already feasible, in-vivo cloud-computing of tumour characteristics may become a potential target for clinical patient management in the near future.