Prediction of Cardiomegaly Disease Using Deep Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4928-7_16
Reference20 articles.
1. Yadav A, Gediya L, Kazi A (2021) Heart disease prediction using machine learning. Int Res J Eng Technol (IRJET) 8(09)
2. Sarpotdar SS (2022) Cardiomegaly detection using deep convolutional neural network with U-Net. arXiv preprint arXiv:2205.11515. https://doi.org/10.48550/arXiv.2205.11515
3. Ghatak S, Chakraborti S, Gupta M et al (2022) Fractal dimension-based infection detection in chest X-ray images. Appl Biochem Biotechnol. https://doi.org/10.1007/s12010-022-04108-y
4. Lin CH, Wu JX, Li CM, Chen PY, Pai NS, Kuo YC (2020) Enhancement of chest X-ray images to improve screening accuracy rate using iterated function system and multilayer fractional-order machine learning classifier. IEEE Photon J 12(4):1–18. https://doi.org/10.1109/JPHOT.2020.3013193
5. Nawaz M, Nazir T, Baili J, Khan MA, Kim YJ, Cha JH (2023) CXray-EffDet: chest disease detection and classification from X-ray images using the EfficientDet.Model. Diagnostics 13(2):248. https://doi.org/10.3390/diagnostics13020248
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