Evolutionary image simplification for lung nodule classification with convolutional neural networks

International Journal of Computer Assisted Radiology and Surgery
Daniel Lückehe, Gabriele von Voigt

Abstract

Understanding decisions of deep learning techniques is important. Especially in the medical field, the reasons for a decision in a classification task are as crucial as the pure classification results. In this article, we propose a new approach to compute relevant parts of a medical image. Knowing the relevant parts makes it easier to understand decisions. In our approach, a convolutional neural network is employed to learn structures of images of lung nodules. Then, an evolutionary algorithm is applied to compute a simplified version of an unknown image based on the learned structures by the convolutional neural network. In the simplified version, irrelevant parts are removed from the original image. In the results, we show simplified images which allow the observer to focus on the relevant parts. In these images, more than 50% of the pixels are simplified. The simplified pixels do not change the meaning of the images based on the learned structures by the convolutional neural network. An experimental analysis shows the potential of the approach. Besides the examples of simplified images, we analyze the run time development. Simplified images make it easier to focus on relevant parts and to find reasons for a decision. The com...Continue Reading

References

Feb 7, 2008·IEEE Transactions on Neural Networks·O ChapelleV N Vapnik
Jan 1, 1997·IEEE Transactions on Neural Networks·J M BenitezI Requena
Nov 11, 2008·Health Affairs·Rebecca Smith-BindmanEric B Larson
Jun 15, 2010·Journal of Digital Imaging·Steve G Langer
Jul 6, 2010·Attention, Perception & Psychophysics·Elizabeth A Krupinski
Jul 26, 2013·Journal of Digital Imaging·Kenneth ClarkFred Prior
Jan 18, 2014·Medical Image Analysis·Colin JacobsBram van Ginneken
Dec 3, 2014·Neural Networks : the Official Journal of the International Neural Network Society·Jürgen Schmidhuber
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Oct 3, 2015·Medical Physics·Arnaud A A SetioBram van Ginneken
Jun 10, 2017·Neural Computation·Waseem Rawat, Zenghui Wang
Oct 27, 2017·Journal of Healthcare Engineering·QingZeng SongXueChen Dou

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Citations

Apr 26, 2019·International Journal of Computer Assisted Radiology and Surgery·Mundher Al-ShabiMaxine Tan
Sep 15, 2020·Journal of X-ray Science and Technology·Kohei FujiwaraTamotsu Kamishima
Aug 25, 2020·Machine Vision and Applications·Hanan FarhatRima Kilany

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