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Emphysema Classification Using Convolutional Neural Networks by Xiaomin Pei is a book available to read on EtoBox.

What is Emphysema Classification Using Convolutional Neural Networks about?

There has been paid more and more attention in diagnosing emphysema using High-resolution Computed Tomography. This may lead to improve both understanding and computer-aided diagnosis. We propose a novel classification framework using convolutional neural network(CNN). This model automatically extracts features from the raw image and generates classification. Experiments have been conducted on the database from clinical. Results a recognition rate of 92.54% for classification two kinds of emphysema with normal. The designed convolutional neural networks can get better results for classifying one kind of emphysema with normal.

Author

Xiaomin Pei

Publisher

Springer International Publishing : Imprint : Springer

Published

2015

Language

EN

ISBN

9783319228723

Subjects

Computer Science, Technology, Engineering