… In this paper, the pixels of the CT image of intracerebral hemorrhage are clustered into four
… propose an improved U-Net model to solve the hemorrhage stroke segmentation problem. …

… [20] adopted Dense U-Net framework for the automated segmentation of intracranial
hemorrhage. Hssayeni implemented a 2D U-Net for segmenting intracranial hemorrhage and …

… Automatic medical image segmentation effectively aids in stroke diagnosis and treatment.
In … , an improved U-Net neural network for auxiliary diagnosis of intracerebral hemorrhage is …

… to original U-Net, improved U-Net showed an increase in the … improvement made to U-Net
in this study has enhanced the accuracy of the segmentation of irregular cerebral hemorrhage …

… In this work, we investigated the first application of U-Net for the ICH segmentation. …
improved the biasing issue. The 5-fold cross-validation of the developed U-Net resulted in a better …

… for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep learning
segmentation … DR-UNet achieved better HV segmentation and prediction performance than …

… , U-Net–based networks provide accurate segmentation … segmentation of spontaneous
intracerebral hemorrhage (ICH) showed that U-Net–based networks achieved significantly better …

… a U-Net-based segmentation network to improve the training efficiency. Our experiments,
based on 82 CT scans from traumatic brain … of the segmentation network, based on the U-Net …

… problem, we propose to incorporate squeeze-and-excitation blocks into the 3D U-Net
architecture, as they have shown improved performance for … Imaging of intracranial hemorrhage …

… automatic brain hemorrhage detection and segmentation using … and segment ICH based on
the U-Net architecture changing its … To perform brain hemorrhage segmentation, we propose …