Wavelet decomposition facilitates training on small datasets for medical image classification by deep learning

The adoption of low-dose computed tomography (LDCT) as the standard of care for lung cancer screening results in decreased mortality rates in high-risk population while increasing false-positive rate. Convolutional neural networks provide an ideal opportunity to improve malignant nodule detection; h...

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Bibliographic Details
Main Authors:	Bates, J.H.T (Author), Cheney, N. (Author), Kinsey, C.M (Author), Masquelin, A.H (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2021
Subjects:	Area under the AUC curve Article benign neoplasm cancer diagnosis cancer screening clinical evaluation comparative study computer assisted tomography controlled study convolutional neural network Convolutional neural network Databases, Factual decomposition deep learning Deep Learning diagnostic imaging discrete wavelet transform factual database human Humans image analysis Learning rate lung cancer Lung cancer detection Lung Neoplasms lung nodule lung tumor priority journal receiver operating characteristic risk assessment risk factor thorax radiography Tomography, X-Ray Computed transfer of learning tumor differentiation x-ray computed tomography
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Wavelet decomposition facilitates training on small datasets for medical image classification by deep learning

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