SRNet: A spatial-relationship aware point-set classification method for multiplexed pathology images.
Author
Abstract
Point-set classification for multiplexed pathology images aims to distinguish between the spatial configurations of cells within multiplexed immuno-fluorescence (mIF) images of different diseases. This problem is important towards aiding pathologists in diag- nosing diseases (e.g., chronic pancreatitis and pancreatic ductal adenocarcinoma). This problem is challenging because crucial spa- tial relationships are implicit in point sets and the non-uniform distribution of points makes the relationships complex.
Year of Publication
2021
Conference Name
In Proceedings of DeepSpatial’21: 2nd ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems
Date Published
07