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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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07/03/2021
VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays
We introduce a new benchmark dataset, namely VinDr-RibCXR, for automatic...
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09/25/2020
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
Brain tumor segmentation plays an essential role in medical image analys...
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05/25/2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels
The chest X-rays (CXRs) is one of the views most commonly ordered by rad...
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11/15/2019