Found: 7
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Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.
- Published in:
- NPJ Digital Medicine, 2021, v. 4, n. 1, p. 1, doi. 10.1038/s41746-021-00393-9
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- Article
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.
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- Journal of Medical Systems, 2018, v. 42, n. 8, p. 1, doi. 10.1007/s10916-018-0991-9
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- Article
Self-supervised learning via cluster distance prediction for operating room context awareness.
- Published in:
- International Journal of Computer Assisted Radiology & Surgery, 2022, v. 17, n. 8, p. 1469, doi. 10.1007/s11548-022-02629-9
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- Article
Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development.
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- Scientific Data, 2021, v. 8, n. 1, p. 1, doi. 10.1038/s41597-021-00863-5
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- Article
Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
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- JAMA Network Open, 2020, v. 3, n. 10, p. e2022779, doi. 10.1001/jamanetworkopen.2020.22779
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- Article
Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays.
- Published in:
- International Journal of Computer Assisted Radiology & Surgery, 2016, v. 11, n. 1, p. 99, doi. 10.1007/s11548-015-1242-x
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- Article
Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control.
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- International Journal of Pattern Recognition & Artificial Intelligence, 2015, v. 29, n. 2, p. -1, doi. 10.1142/S0218001415570013
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- Article