Standard
Towards exaggerated emphysema stereotypes. / Chen, Chen; Sørensen, Lauge; Lauze, Francois Bernard; Igel, Christian; Loog, Marco; Feragen, Aasa; de Bruijne, Marleen; Nielsen, Mads.
Medical Imaging 2012: Computer-Aided Diagnosis. red. / Bram van Ginneken; Carol L. Novak. SPIE - International Society for Optical Engineering, 2012. 83150Q (Proceedings of S P I E - International Society for Optical Engineering, Bind 7964). (Progress in Biomedical Optics and Imaging; Nr. 31, Bind 13).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Chen, C, Sørensen, L
, Lauze, FB, Igel, C, Loog, M, Feragen, A
, de Bruijne, M & Nielsen, M 2012,
Towards exaggerated emphysema stereotypes. i B van Ginneken & CL Novak (red),
Medical Imaging 2012: Computer-Aided Diagnosis., 83150Q, SPIE - International Society for Optical Engineering, Proceedings of S P I E - International Society for Optical Engineering, bind 7964, Progress in Biomedical Optics and Imaging, nr. 31, bind 13, Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, California, USA,
04/02/2012.
https://doi.org/10.1117/12.911398APA
Chen, C., Sørensen, L.
, Lauze, F. B., Igel, C., Loog, M., Feragen, A.
, de Bruijne, M., & Nielsen, M. (2012).
Towards exaggerated emphysema stereotypes. I B. van Ginneken, & C. L. Novak (red.),
Medical Imaging 2012: Computer-Aided Diagnosis [83150Q] SPIE - International Society for Optical Engineering. Proceedings of S P I E - International Society for Optical Engineering Bind 7964 Progress in Biomedical Optics and Imaging Bind 13 Nr. 31
https://doi.org/10.1117/12.911398Vancouver
Chen C, Sørensen L
, Lauze FB, Igel C, Loog M, Feragen A o.a.
Towards exaggerated emphysema stereotypes. I van Ginneken B, Novak CL, red., Medical Imaging 2012: Computer-Aided Diagnosis. SPIE - International Society for Optical Engineering. 2012. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Bind 7964). (Progress in Biomedical Optics and Imaging; Nr. 31, Bind 13).
https://doi.org/10.1117/12.911398Author
Chen, Chen ; Sørensen, Lauge ; Lauze, Francois Bernard ; Igel, Christian ; Loog, Marco ; Feragen, Aasa ; de Bruijne, Marleen ; Nielsen, Mads. / Towards exaggerated emphysema stereotypes. Medical Imaging 2012: Computer-Aided Diagnosis. red. / Bram van Ginneken ; Carol L. Novak. SPIE - International Society for Optical Engineering, 2012. (Proceedings of S P I E - International Society for Optical Engineering, Bind 7964). (Progress in Biomedical Optics and Imaging; Nr. 31, Bind 13).
Bibtex
@inproceedings{4450830efd0746e7b548e23949db0e1e,
title = "Towards exaggerated emphysema stereotypes",
abstract = "We introduce the notion of an exaggerated image stereotype for some image class of interest, which emphasizes/exaggerates the characteristic patterns in an image class and visualizes what visual information the classication relies on. This is useful for gaining insight into the classi cation and serves for comparison with thebiological models of disease.We build the exaggerated image stereotypes by optimizing an objective function which consists of a discriminativeterm based on the classi cation accuracy, and a generative term based on the class distribution. Agradient descent method is employed for optimization. We use this idea with Fisher's Linear Discriminant rule,and assume a multivariate normal distribution for samples within a class. The proposed framework is appliedto computed tomography (CT) images of lung tissue with emphysema. The synthesized stereotypes illustratethe exaggerated patterns of lung tissue with emphysema, which is underpinned by three di erent quantitativeevaluation methods.",
author = "Chen Chen and Lauge S{\o}rensen and Lauze, {Francois Bernard} and Christian Igel and Marco Loog and Aasa Feragen and {de Bruijne}, Marleen and Mads Nielsen",
year = "2012",
doi = "10.1117/12.911398",
language = "English",
isbn = "9780819489647",
series = "Proceedings of S P I E - International Society for Optical Engineering",
publisher = "SPIE - International Society for Optical Engineering",
editor = "{van Ginneken}, Bram and Novak, {Carol L.}",
booktitle = "Medical Imaging 2012",
note = "null ; Conference date: 04-02-2012 Through 09-02-2012",
}
RIS
TY - GEN
T1 - Towards exaggerated emphysema stereotypes
AU - Chen, Chen
AU - Sørensen, Lauge
AU - Lauze, Francois Bernard
AU - Igel, Christian
AU - Loog, Marco
AU - Feragen, Aasa
AU - de Bruijne, Marleen
AU - Nielsen, Mads
PY - 2012
Y1 - 2012
N2 - We introduce the notion of an exaggerated image stereotype for some image class of interest, which emphasizes/exaggerates the characteristic patterns in an image class and visualizes what visual information the classication relies on. This is useful for gaining insight into the classi cation and serves for comparison with thebiological models of disease.We build the exaggerated image stereotypes by optimizing an objective function which consists of a discriminativeterm based on the classi cation accuracy, and a generative term based on the class distribution. Agradient descent method is employed for optimization. We use this idea with Fisher's Linear Discriminant rule,and assume a multivariate normal distribution for samples within a class. The proposed framework is appliedto computed tomography (CT) images of lung tissue with emphysema. The synthesized stereotypes illustratethe exaggerated patterns of lung tissue with emphysema, which is underpinned by three di erent quantitativeevaluation methods.
AB - We introduce the notion of an exaggerated image stereotype for some image class of interest, which emphasizes/exaggerates the characteristic patterns in an image class and visualizes what visual information the classication relies on. This is useful for gaining insight into the classi cation and serves for comparison with thebiological models of disease.We build the exaggerated image stereotypes by optimizing an objective function which consists of a discriminativeterm based on the classi cation accuracy, and a generative term based on the class distribution. Agradient descent method is employed for optimization. We use this idea with Fisher's Linear Discriminant rule,and assume a multivariate normal distribution for samples within a class. The proposed framework is appliedto computed tomography (CT) images of lung tissue with emphysema. The synthesized stereotypes illustratethe exaggerated patterns of lung tissue with emphysema, which is underpinned by three di erent quantitativeevaluation methods.
U2 - 10.1117/12.911398
DO - 10.1117/12.911398
M3 - Article in proceedings
SN - 9780819489647
T3 - Proceedings of S P I E - International Society for Optical Engineering
BT - Medical Imaging 2012
A2 - van Ginneken, Bram
A2 - Novak, Carol L.
PB - SPIE - International Society for Optical Engineering
Y2 - 4 February 2012 through 9 February 2012
ER -
