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04/01/2023
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation
We conducted a prospective study to measure the clinical impact of an ex...
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02/06/2023
A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity Degradation
Given the high power density low discharge rate and decreasing cost rech...
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08/06/2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph
Recent artificial intelligence (AI) algorithms have achieved radiologist...
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08/05/2022
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices
The rapid development in representation learning techniques and the avai...
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03/20/2022
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
Mammography, or breast X-ray, is the most widely used imaging modality t...
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03/20/2022
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
Building an accurate computer-aided diagnosis system based on data-drive...
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08/14/2021
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
Chest radiograph (CXR) interpretation in pediatric patients is error-pro...
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06/24/2021
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
Radiographs are used as the most important imaging tool for identifying ...
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09/25/2020
