Skip to Main content Skip to Navigation
Conference papers

Effect of Slice Thickness on Texture-Based Classification of Liver Dynamic CT Scans

Abstract : This paper assesses the impact of slice thickness on texture parameters. Experiments are performed on liver dynamic CT scans, with two slice thicknesses. Three acquisition moments are considered: without contrast, in arterial and in portal phase. In total, 155 texture parameters, extracted with 9 methods, are tested. Classification of normal and cirrhotic liver is performed using a boosting algorithm. Experiments reveal that slice thickness does not considerably influence the stability of the parameters. They also enable to assess the rate of parameter dependency on slice thickness. Finally, they show that applying different slice thicknesses for training and testing the CAD system requires slice thickness-independent parameters.
Complete list of metadata

Cited literature [18 references]  Display  Hide  Download

https://hal.inria.fr/hal-01496055
Contributor : Hal Ifip <>
Submitted on : Monday, March 27, 2017 - 11:00:53 AM
Last modification on : Thursday, January 14, 2021 - 11:24:58 AM
Long-term archiving on: : Wednesday, June 28, 2017 - 12:49:36 PM

File

978-3-642-40925-7_10_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Dorota Duda, Marek Kretowski, Johanne Bezy-Wendling. Effect of Slice Thickness on Texture-Based Classification of Liver Dynamic CT Scans. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. pp.96-107, ⟨10.1007/978-3-642-40925-7_10⟩. ⟨hal-01496055⟩

Share

Metrics

Record views

434

Files downloads

297