Pneumonia Detection Using Deep Neural Networks Based on Chest X-ray Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0327-2_29
Reference15 articles.
1. Gupta B, Mishra C, Garg P (2023) Pneumonia detection using convolution neural network. In: 2023 international conference on computational intelligence, communication technology and networking (CICTN), Ghaziabad, India, pp 48–53. https://doi.org/10.1109/CICTN57981.2023.10141492
2. Pappula S, Nadendla T, Lomadugu NB, Revanth Nalla S (2023) Detection and classification of pneumonia using deep learning by the dense net-121 model. In: 2023 9th international conference on advanced computing and communication systems (ICACCS), Coimbatore, India, pp 1671–1675. https://doi.org/10.1109/ICACCS57279.2023.10113110
3. Sharma S, Guleria K (2023) A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks. Procedia Comput Sci 218:357–366. ISSN 1877-0509
4. Li Z et al (2019) PNet: an efficient network for pneumonia detection. In: 12th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI), vol 29, Suzhou, China, pp 1–5, 1615–1627. https://doi.org/10.1109/CISP-BMEI48845.2019.8965660
5. Alapat DJ, Menon MV, Ashok S (2022) A review on detection of pneumonia in chest X-ray images using neural networks. J Biomed Phys Eng 12(6):551–558. https://doi.org/10.31661/jbpe.v0i0.2202-1461. PMID: 36569568; PMCID: PMC9759647
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