Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection

URN to cite this document:: urn:nbn:de:bvb:355-epub-551469
DOI to cite this document:: 10.5283/epub.55146

Raab, Florian ; Malloni, Wilhelm ; Wein, Simon ; Greenlee, Mark W.

; Lang, Elmar W.

License: Creative Commons Attribution 4.0
PDF - Published Version
(1MB)

Date of publication of this fulltext: 07 Dec 2023 06:51

Alternative links to fulltext:DOI Publisher

Details

Preview

Export bibliographical data

Abstract

In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented. The method is based on an U-Net like convolutional neural network (CNN) for automated 2D slice-based-segmentation of brain MRI volumes. The individual modalities are encoded in separate downsampling branches without weight ...