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MARCOŇ, P. ŠIRŮČKOVÁ, A. DOHNAL, P.
Original Title
Brain Tumor DWIs: Comparing the Results of Manual and Computer-Based Evaluation
Type
conference paper
Language
English
Original Abstract
The article is focused on the segmentation of pathology in brain tissue derived from diffusion weighted images. The authors describe two approaches of segmentation. The first approach is based on support vector machine classification and the second on manual segmentation. Segmentation was performed on four types of images that have been derived from calculation of ADC (apparent diffusion coefficient) map (Trace, Fraction Anisotropy, Volume Ratio, and Mean of All B0s). Segmented data was analyzed statistically to compare two researched approaches of segmentation. Additionally, the article investigates the most valuable type of processed images for detection and classification of pathologic tissue – tumor
Keywords
3D segmentation, brain tumors, diffusion weighted imaging, SVM classification
Authors
MARCOŇ, P.; ŠIRŮČKOVÁ, A.; DOHNAL, P.
Released
19. 11. 2017
Publisher
IEEE
Location
Singapore
ISBN
978-1-5386-1211-8
Book
Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017
Pages from
1857
Pages to
1861
Pages count
5
BibTex
@inproceedings{BUT142232, author="Petr {Marcoň} and Anna {Širůčková} and Přemysl {Dohnal}", title="Brain Tumor DWIs: Comparing the Results of Manual and Computer-Based Evaluation", booktitle="Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017", year="2017", pages="1857--1861", publisher="IEEE", address="Singapore", doi="10.1109/PIERS-FALL.2017.8293440", isbn="978-1-5386-1211-8" }