Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network

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概要

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• In order to classify the idiopathic interstitial pneumonias(IIPs), extraction and interpretation of features on high-resolution computed tomography (HRCT) image is considered to be effective. The purpose of our study is to develop a diagnosis support system to help diagnostician of classification for those HRCT images using an artificial neural network called counter propagation network. The CPN is a hybrid type neural network model composed from self-organizing map (SOM) for feature extraction and from multi-layered perceptron (MLP) for classification. Applying the CPN for the IIPs images, we could obtain both a kind of similarity map and classification system.

• 2010-07-05

著者

• Yuki Tanaka

  Applied Medical Engineering Sciece, Graduate School of Medicine, Yamaguchi University

• Hayaru Shouno

  Graduate School of Informatics and Engineering, University of Electro-Communications

• Shoji Kido

  Applied Medical Engineering Sciece, Graduate School of Medicine, Yamaguchi University

• Shoji Kido

  Applied Medical Engineering Sciece Graduate School Of Medicine Yamaguchi University

• Kido Shoji

  Yamaguchi University

• Hayaru Shouno

  Graduate School Of Informatics And Engineering University Of Electro-communications

• Kido Shoji

  Applied Medical Engineering Science Graduate School Of Medicine Yamaguchi University

• Yuki Tanaka

  Applied Medical Engineering Sciece Graduate School Of Medicine Yamaguchi University

関連論文

• Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network
• Classification of Idiopathic Interstitial Pneumonia CT Images using Convolutional-net with Sparse Feature Extractors
• Analysis of idiopathic interstitial pneumonia by self organization map on high-resolution computed tomography images (数理モデル化と問題解決)
• 3D Non-rigid Image Registration Assisted for Pneumoperitoneum in Laparoscopic Surgery
• Discrimination of Lung Sounds using a Statistics of Waveform Intervals
• A hierarchical extension of the HOG model implemented in the convolution-net for human detection
• Poisson Observed Image Restoration using a Latent Variational Approximation with Gaussian MRF
• Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis
• A Computer-aided Diagnosis Method for Classification of Pneumoconiosis Patterns on HRCT Images

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