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Librarian-in-the-Loop Deep Learning to Curate Very Large Biomedical Image Datasets

Home / Topics / Artificial Intelligence / Librarian-in-the-Loop Deep Learning to Curate Very Large Biomedical Image Datasets

February 28, 2024

Zhiwu Xie
Assistant University Librarian
University of California, Riverside

Yinlin Chen
Assistant Professor & Assistant Director for Digital Research & Scholarship
Virginia Tech University

This briefing presents a research data management project where librarians from University of California, Riverside and Virginia Tech are deeply embedded in a research team at Yale School of Medicine to answer research questions by applying AI/Deep Learning techniques to large biomedical images. Leveraging library resources and expertise, we have developed a prototype pipeline that identifies nuclear pores from whole cell images captured at 8 nanometer resolution by a cutting-edge microscope, in the hope to reveal the cellular mechanism of one type of epilepsy and autism. This project exemplifies our data management approach that strives to engage in much earlier stages of research, e.g., even during ideation and data collection, instead of waiting until most research activities are completed to “consult” or “advice” on the general questions of data storage or preservation. This project also highlights the importance of non generative AI approaches, which have already been widely used as research tools in a much more mature manner.

https://www.zhiwuxie.com/projects/librarian-in-the-loop-deep-learning

Presentation

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Filed Under: Artificial Intelligence, Emerging Technologies, February 2024 Pre-Recorded Project Briefing Series, Pre-Recorded Project Briefing Pages, Spaces, Teaching & Learning
Tagged With: Videos

Last updated:  Thursday, May 9th, 2024

 

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