Dilated deeply supervised networks for hippocampus segmentation in MRI

Folle L, Vesal S, Ravikumar N, Maier A (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Berlin Heidelberg

Pages Range: 68-73

Conference Proceedings Title: Informatik aktuell

Event location: Lübeck DE

ISBN: 9783658253257

DOI: 10.1007/978-3-658-25326-4_18

Abstract

Tissue loss in the hippocampi has been heavily correlated with the progression of Alzheimer�s Disease (AD). The shape and structure of the hippocampus are important factors in terms of early AD diagnosis and prognosis by clinicians. However, manual segmentation of such subcortical structures in MR studies is a challenging and subjective task. In this paper, we investigate variants of the well known 3D U-Net, a type of convolution neural network (CNN) for semantic segmentation tasks.We propose an alternative form of the 3D U-Net, which uses dilated convolutions and deep supervision to incorporate multi-scale information into the model. The proposed method is evaluated on the task of hippocampus head and body segmentation in an MRI dataset, provided as part of the MICCAI 2018 segmentation decathlon challenge. The experimental results show that our approach outperforms other conventional methods in terms of different segmentation accuracy metrics.

Authors with CRIS profile

Lukas Folle Lehrstuhl für Informatik 5 (Mustererkennung) Sulaiman Vesal Lehrstuhl für Informatik 5 (Mustererkennung) Nishant Ravikumar Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Related research project(s)

Radiologische und Genomische Datenanalyse zur Verbesserung der Brustkrebstherapie (BIG-THERA) Jan. 1, 2018 - Dec. 31, 2019

How to cite

APA:

Folle, L., Vesal, S., Ravikumar, N., & Maier, A. (2019). Dilated deeply supervised networks for hippocampus segmentation in MRI. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 68-73). Lübeck, DE: Springer Berlin Heidelberg.

MLA:

Folle, Lukas, et al. "Dilated deeply supervised networks for hippocampus segmentation in MRI." Proceedings of the Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck Ed. Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff, Springer Berlin Heidelberg, 2019. 68-73.

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