Paper
10 December 2021 Full multi resolution active shape model for left ventricle segmentation
Author Affiliations +
Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis; 120881C (2021) https://doi.org/10.1117/12.2606252
Event: Seventeenth International Symposium on Medical Information Processing and Analysis, 2021, Campinas, Brazil
Abstract
This article presents the application of the full multiresolution active shape model for the segmentation of the left ventricle in ultrasound images as well as a comparison between the classical active shape model and the full multiresolution active shape model. Our objective is to evaluate the performance of the full multiresolution framework in a complex image segmentation task such as ultrasound of the left ventricle. The accuracy of this method is evaluated through the DICE coefficient between the expert annotation and the final segmentation of the full multiresolution active shape model (FMR-ASM). The validation and training data were obtained from the CAMUS database, with 100 training and 60 validation images on which we obtained a mean DICE coefficient of 0.76 with the FMR-ASM.
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Eduardo Galicia Gomez, Fabian Torres Robles, Boris Escalante Ramirez, Jimena Olveres, and Fernando Arámbula Cosío "Full multi resolution active shape model for left ventricle segmentation", Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 120881C (10 December 2021); https://doi.org/10.1117/12.2606252
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KEYWORDS
Image segmentation

Signal processing

Image resolution

Wavelets

Electronic filtering

Image processing

Shape analysis

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