Combining Deep Learning And Medical Knowledge to Detect Cadiomegaly and Pleural Effusion in Chest X-rays Diagnosis-Reference-Cited by-同舟云学术

Combining Deep Learning And Medical Knowledge to Detect Cadiomegaly and Pleural Effusion in Chest X-rays Diagnosis

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
language:
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Author:

Nguyen Dai-Nghia¹^ORCID,Le-Pham Lan-Anh²^ORCID,Nguyen Hai-Dang³^ORCID,Tran Minh-Triet¹^ORCID

Affiliation:

1. Faculty of Information Technology and Software Engineering Laboratory, University of Science, VNU-HCM, Viet Nam

2. Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam

3. Software Engineering Laboratory, University of Science, VNU-HCM, Viet Nam

Funder

Viet Nam National University Ho Chi Minh City

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628981

Reference23 articles.

1. P1 Pleural effusion size estimation: US, CXR or CT?

2. PadChest: A large chest x-ray image dataset with multi-label annotated reports

3. Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

4. COROCHANN. 2020. VinBigData Two Class Classifier. https://www.kaggle.com/code/corochann/vinbigdata-2-class-classifier-complete-pipeline COROCHANN. 2020. VinBigData Two Class Classifier. https://www.kaggle.com/code/corochann/vinbigdata-2-class-classifier-complete-pipeline

5. Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao and Biao Li. 2020. Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs. arxiv:2008.02312 [cs.CV] Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao and Biao Li. 2020. Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs. arxiv:2008.02312 [cs.CV]

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