The biggest attraction of the CLARIFY project for me is the opportunity to closely collaborate with other researchers from multiple disciplines.
As the ESR1 of CLARIFY project, my main job is to achieve semantic interoperability of digital pathology data by defining formal terminology for digital pathology data. My research interests include research assets discovery (dataset, AI models, software services) and workflow composition. As we have already seen, computer science technologies have been employed to facilitate the research on other domains, e.g., instance, digital image processing used for automatic pathological image interpretation, big data technologies used for medical image storage and retrieval.
The biggest attraction of the CLARIFY project for me is the opportunity to closely collaborate with other researchers from multiple disciplines. For instance, once Farbod approached me to discuss the whole slide image (WSI) quality assessment methods. He is a biomedical engineer working at Erasmus University Medical Center Rotterdam. As Farbod introduced the process of scanning glass slides into WSI as well as some issues encountered during WSI generation, I realized how greatly computer science can help in pathological research. In this scenario, It is of great importance that WSI quality assessment can be automatically performed by computers to reduce the workload of pathologists. Meanwhile, there are many interesting research questions when combining pathology and engineering. For example, how to quickly retrieve WSI during research and clinical diagnosis? How to securely share WSI and annotations over WSI between different institutions? How to discover public WSI datasets for a certain task?
Besides, as I study in the beautiful Amsterdam, life has been peaceful and pleasant. This is a photo of one river in Amsterdam.
Na Li – ESR1