Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Interstitial lung diseases (ILD) involve several abnormal imaging patterns observed in computed tomography (CT) images. Accurate classification of these patterns plays a significant role in precise clinical decision making of the extent and nature of the diseases. Therefore, it is important for deve...

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Vydáno v:	Computer methods in biomechanics and biomedical engineering. Ročník 6; číslo 1; s. 1 - 6
Hlavní autoři:	Gao, Mingchen, Bagci, Ulas, Lu, Le, Wu, Aaron, Buty, Mario, Shin, Hoo-Chang, Roth, Holger, Papadakis, Georgios Z., Depeursinge, Adrien, Summers, Ronald M., Xu, Ziyue, Mollura, Daniel J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Taylor & Francis 02.01.2018
Témata:	convolutional neural network holistic medical image classification Interstitial lung disease Interstitial lung disease convolutional neural network holistic medical image classification
ISSN:	2168-1163, 2168-1171
On-line přístup:	Získat plný text
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