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02/09/2022
Learning to Bootstrap for Combating Label Noise
Deep neural networks are powerful tools for representation learning, but...
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11/09/2021
RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice
This work describes the development and real-world deployment of a deep ...
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10/31/2021
TorchXRayVision: A library of chest X-ray datasets and models
TorchXRayVision is an open source software library for working with ches...
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04/20/2020
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
The extraction of labels from radiology text reports enables large-scale...
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01/21/2019
MIMIC-CXR: A large publicly available database of labeled chest radiographs
Chest radiography is an extremely powerful imaging modality, allowing fo...
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01/21/2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Large, labeled datasets have driven deep learning methods to achieve exp...
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12/11/2017
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
We introduce MURA, a large dataset of musculoskeletal radiographs contai...
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11/14/2017
