Feb 27, 2018 · In this paper we describe how it can efficiently be used for the purpose of detecting and segmenting white matter hyperintensity lesions. We ...

DeepMedic, an open source software library based on a multi-channel multi-resolution 3D convolutional neural network, has recently been made publicly ...

Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions · F. Lippert, B. Cheng, +4 authors. J. Klein · Published in Medical Imaging ...

Bibliographic details on Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions.

Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions. Overview of attention for article published in ADS, February 2018.

Jul 27, 2023 · This paper proposes an automatic 3D segmentation framework for white matter hyperintensity using a deep multi-mapping encoder-decoder structure.

In this work we propose to use a convolutional neural network (CNN) that is able to segment hyperintensities and differentiate between WMHs and stroke lesions.

In this work we aim to address some of the shortcomings mentioned before and propose to use a CNN to segment and differentiate between WMH-related pathology and ...

White matter hyperintensities (WMH), of presumed vascular origin, are visible and quantifiable neuroradiological markers of brain parenchymal change.

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