Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs

Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs

The proposed study evaluates the efficacy of knowledge transfer gained through an ensemble of modality-specific deep learning models toward improving the state-of-the-art in Tuberculosis (TB) detection. A custom convolutional neural network (CNN) and selected popular pretrained CNNs are trained to l...

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Bibliographic Details
Main Authors: Sivaramakrishnan Rajaraman, Sameer K. Antani
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Classification
confidence interval
convolutional neural network
deep learning
ensemble
knowledge transfer
Online Access:https://ieeexplore.ieee.org/document/8979446/

Internet

https://ieeexplore.ieee.org/document/8979446/

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