Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network

Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network

Tuberculosis (TB), primarily affecting the lungs, is caused by the bacterium Mycobacterium tuberculosis and poses a significant health risk. Detecting acid-fast bacilli (AFB) in stained samples is critical for TB diagnosis. Whole Slide (WS) Imaging allows for digitally examining these stained sample...

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Bibliographic Details
Main Authors: Vasundhara Acharya, Diana Choi, Bulent Yener, Gillian Beamer
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Acid-fast bacilli
cell graphs
convolutional neural network
granuloma
jumping knowledge neural network
pulmonary tuberculosis
Online Access:https://ieeexplore.ieee.org/document/10416836/

Internet

https://ieeexplore.ieee.org/document/10416836/

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