Bridging the gap between prostate radiology and pathology through machine learning

no code implementations • 3 Dec 2021 • Indrani Bhattacharya, David S. Lim, Han Lin Aung, Xingchen Liu, Arun Seetharaman, Christian A. Kunder, Wei Shao, Simon J. C. Soerensen, Richard E. Fan, Pejman Ghanouni, Katherine J. To'o, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Our experiments show that (1) radiologist labels and models trained with them can miss cancers, or underestimate cancer extent, (2) digital pathologist labels and models trained with them have high concordance with pathologist labels, and (3) models trained with digital pathologist labels achieve the best performance in prostate cancer detection in two different cohorts with different disease distributions, irrespective of the model architecture used.

BIG-bench Machine Learning

A Case Study in Bootstrapping Ontology Graphs from Textbooks

no code implementations • AKBC 2021 • Vinay K. Chaudhri, Matthew Boggess, Han Lin Aung, Debshila Basu Mallick, Andrew C Waters, Richard Baraniuk

Ontology graphs are graphs in which the nodes are generic classes and edges have labels that specify the relationships between the classes.

Knowledge Graphs Language Modelling +1

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks

no code implementations • 11 Apr 2020 • Han Lin Aung, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon

Using satellite imaging can be a scalable and cost effective manner to perform the task of farm parcel delineation to collect this valuable data.

Segmentation