MedAI Session 21: Graph-based modeling in computational pathology | Siyi Tang скачать в хорошем качестве

MedAI Session 21: Graph-based modeling in computational pathology | Siyi Tang

Title: Graph-based modeling in computational pathology Speaker: Siyi Tang Abstract: Advances in whole-slide imaging, deep learning, and computational power have enabled substantial growth in the field of computational pathology, including automating routine pathology workflows and discovery of novel biomarkers. Convolutional neural networks (CNNs) have been the most commonly used network architecture in computational pathology. However, a different line of work that leverages cellular interactions and spatial structures in whole slide images using graph-based modeling methods is emerging. In this journal club, I will lead a discussion on graph-based modeling, particularly graph neural networks, in the field of computational pathology. Speaker Bio: Siyi Tang is a PhD candidate in Electrical Engineering at Stanford University, advised by Prof. Daniel Rubin. Her research aims to leverage the structure in medical data to develop better medical machine learning models and enable novel scientific discovery. She is also interested in enhancing the human interpretability and clinical utility of medical machine learning algorithms. Prior to Stanford, Siyi received her Bachelor of Engineering Degree with Highest Distinction Honor from National University of Singapore. ------ The MedAI Group Exchange Sessions are a platform where we can critically examine key topics in AI and medicine, generate fresh ideas and discussion around their intersection and most importantly, learn from each other. We will be having weekly sessions where invited speakers will give a talk presenting their work followed by an interactive discussion and Q&A. Our sessions are held every Thursday from 1pm-2pm PST. To get notifications about upcoming sessions, please join our mailing list: https://mailman.stanford.edu/mailman/... For more details about MedAI, check out our website: https://medai.stanford.edu. You can follow us on Twitter @MedaiStanford Organized by members of the Rubin Lab (http://rubinlab.stanford.edu) Nandita Bhaskhar (https://www.stanford.edu/~nanbhas) Siyi Tang (https://siyitang.me)