Classification of non-small cell lung cancers using deep convolutional neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16119-w.pdf
Reference59 articles.
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3. Altaf F, Islam SMS, Akhtar N, Janjua NK (2019) Going deep in medical image analysis: concepts, methods, challenges, and future directions. IEEE Access 7:99540–99572. https://doi.org/10.1109/access.2019.2929365
4. Aydin N, Çelik Ö, Aslan AF, Odabaş A, Dündar E, Şahin MC (2021) Detection of lung cancer on computed tomography using artificial intelligence applications developed by deep learning methods and the contribution of deep learning to the classification of lung carcinoma. Curr Med Imaging Formerly: Curr Med Imaging Rev 17. https://doi.org/10.2174/1573405617666210204210500
5. Boudrioua MS (2020) COVID-19 detection from chest X-ray images using CNNs models: further evidence from deep transfer learning. SSRN Electron J. https://doi.org/10.2139/ssrn.3630150
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