Exploring the Impact of CLAHE Processing on Disease Classes ‘Effusion,’ ‘Infiltration,’ ‘Atelectasis,’ and ‘Mass’ in the NIH Chest XRay Dataset Using VGG16 and ResNet50 Architectures
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62871-9_33
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5. Kieu, P.N., Tran, H.S., Le, T.H., Le, T., Nguyen, T.T.: Applying Multi-CNNs model for detecting abnormal problem on chest x-ray images. In: 2018 10th International Conference on Knowledge and Systems Engineering (KSE), Ho Chi Minh City, Vietnam, pp. 300–305 (2018). https://doi.org/10.1109/KSE.2018.8573404
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