Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network
Author:
Affiliation:
1. Rensselaer Polytechnic Institute, Troy, NY, USA
2. Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA, USA
3. Research Pathology, Aiforia Technologies, Cambridge, MA, USA
Funder
Boehringer Ingelheim Veterinary Scholars Program
National Institutes of Health National Heart, Lung, and Blood Institute
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10416836.pdf?arnumber=10416836
Reference98 articles.
1. WHO's Global Tuberculosis Report 2022
2. Tuberculosis biomarkers discovered using diversity outbred mice;Koyuncu;medRxiv,2021
3. Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach
4. A Study of Mycobacterium tuberculosis Detection Using Different Neural Networks in Autopsy Specimens
5. Mouse Models for Mycobacterium tuberculosis Pathogenesis: Show and Do Not Tell
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