Jan 26, 2019 · We developed an automatic approach for ischemic stroke lesion by using two deep net architectures that are the state of the art regarding medical image ...
Both 2D and 3D variations of UNet are extensively available in brain tumor segmentation literature, while 3D UNet requires huge memory requirements, 2D filters ...
Nov 30, 2023 · A hybrid UNet and Transformer (HUT) network is introduced to combine the merits of the UNet and Transformer architectures, improving brain lesion segmentation ...
Oct 3, 2024 · Therefore, four U-net networks are used to extract lesion information from CT perfusion maps separately, and the final lesion determination is ...
Dec 10, 2022 · This dataset comprises 400 multi-vendor MRI cases with high variability in stroke lesion size, quantity and location.
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome ...
pmc.ncbi.nlm.nih.gov › PMC6146088
The ISLES challenge follows this direction by providing a stroke imaging database and benchmarking platform that facilitates the comparisons of new algorithms ...
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Aug 6, 2024 · MSL divides lesion masks into various categories based on lesion volume while DBL emphasizes the lesion boundaries. Experimental evaluations on ...
Because it is difficult to apply focal loss to 3D seg- mentation models, 3D U-NET and V-NET do not address the two kinds of data imbalance. However, the ...
Sep 4, 2024 · This study details a public challenge where scientists applied top computational strategies to delineate stroke lesions on CT scans, utilizing paired ADC ...
This review paper explores the different deep-learning-based lesion segmentation models and the impact of different pre-processing techniques on their ...