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In this paper we present a 3D MS-lesion segmentation method based on an adaptive geometric brain model. We model the topological properties of the lesions and ...
In this paper we present a 3D. MS-lesion segmentation method based on an adaptive geometric brain model. We model the topological properties of the lesions and ...
Jun 26, 2016 · In this paper we present a 3D MS-le- sion segmentation method based on an adaptive geometric brain model. We model the topological properties of ...
A 3D MS-lesion segmentation method based on an adaptive geometric brain model that is independent of an MRI atlas and robust with respect to minor ...
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We developed a FCNN model to segment brain tissues, including T2-hyperintense MS lesions. The training, validation, and testing of FCNN was based on ~1000 MRIs ...
A fully convolutional neural network (CNN) based method to segment white matter lesions from multi-contrast MR images for multiple sclerosis and significant ...
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Oct 2, 2024 · Segmenting and quantifying MS lesions from brain MR images plays a crucial role in clinical diagnosis and research. While many lesion ...
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage, 124 (2015), 10.1016/j.neuroimage.2015.09.047 · Google ...