activity
20182024
most citedDevelopment and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer

509 citations · 906 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images

Kshitij Ingale, Sun Hae Hong, Qiyuan Hu +7

Molecular testing of tumor samples for targetable biomarkers is restricted by a lack of standardization, turnaround-time, cost, and tissue availability across cancer types. Additio…

cs.CV2023

Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images

Qiyuan Hu, Abbas A. Rizvi, Geoffery Schau +13

Microsatellite instability-high (MSI-H) is a tumor agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in pa…

cs.CV2023

Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images

Kshitij Ingale, Sun Hae Hong, Josh S. K. Bell +8

MET protein overexpression is a targetable event in non-small cell lung cancer (NSCLC) and is the subject of active drug development. Challenges in identifying patients for these t…

cs.CV2020★ 50 cited

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading

Ellery Wulczyn, Kunal Nagpal, Matthew Symonds +20

Gleason grading of prostate cancer is an important prognostic factor but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial i…

cs.CV2018★ 347 cited

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration

Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald +7

The brightfield microscope is instrumental in the visual examination of both biological and physical samples at sub-millimeter scales. One key clinical application has been in canc…

cs.CV2018★ 509 cited

Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer

Kunal Nagpal, Davis Foote, Yun Liu +17

For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scorin…