Lesion-aware convolutional neural network for chest radiograph classification-Reference-Cited by-同舟云学术

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Lesion-aware convolutional neural network for chest radiograph classification

Published:2021-02 Issue:2 Volume:76 Page:155.e1-155.e14
ISSN:0009-9260
Container-title:Clinical Radiology
language:en
Short-container-title:Clinical Radiology

Author:

Li F.,Shi J.-X.,Yan L.,Wang Y.-G.,Zhang X.-D.,Jiang M.-S.,Wu Z.-Z.,Zhou K.-Q.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference34 articles.

1. Blunt trauma: what is behind the widened mediastinum on chest X-ray (CXR);Vasileiou;J Surg Res,2019

2. Exploiting epistemic uncertainty of anatomy segmentation for anomaly detection in retinal OCT;Seebock;IEEE Med Imaging,2019

3. Deep learning-based automated detection of retinal diseases using optical coherence tomography images;Li;Biomed Opt Express,2019

4. Automatic detection of diabetic retinopathy in retinal fundus photographs based on deep learning algorithm;Li;Transl Vis Sci Technol,2019

5. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs;Gulshan;JAMA,2016

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1. Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge;IEEE Transactions on Medical Imaging;2024-08

2. Convolutional Neural Network for Classifying Thoracic Diseases in Adult Patients;IFMBE Proceedings;2023-10-26

3. Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis;European Respiratory Review;2023-06-07

4. Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review;Diagnostics;2023-02-15

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