[Colloquium] Renyu Zhang’s Dissertation Defense/ May 13th, 2024

[Devin Davis]

This is an announcement of Renyu Zhang’s Dissertation Defense
===============================================
Candidate: Renyu Zhang’s

Date: Monday, May 13th, 2024

Time: 2:30 pm CT

Location: JCL 298

Title: Machine Learning for Histopathology Images in Low-data Regime


Abstract: Diagnostic pathology and histopathology images play a critical role in the diagnosis and treatment of carcinomas. In order to get satisfying performance, we usually need a large amount of labeled data. Annotating a large number of histopathology images for training machine learning models can be expensive and time-consuming. We explored several approaches of machine learning in a low-data regime for histopathology images, leading to a caption generation model from histopathology images, a hyperbolic attention model for histopathology images, a deep Bayesian active learning method to enable efficient selection of training examples that can undergo expensive annotation, and representation learning approach that utilize existing coarse-grained labels of whole slide images to improve model performance on fine-grained data. Our experiments demonstrate that these approaches can improve the performances of models in the low-data regime while maintaining high levels of interpretability, minimizing labeling costs, and showing analytical advantages. The results of this study provide valuable insights for future research in the area of machine learning in low-data regimes for histopathology images.

Advisors: Robert L. Grossman

Committee Members: Robert L. Grossman, Aly A. Khan, and Yuxin Chen


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.cs.uchicago.edu/pipermail/colloquium/attachments/20240429/617fd211/attachment.html>