Sep 6, 2022 · Recently, U-Net has dominated the medical image segmentation. In the KiPA challenge, we evaluated several U-Net variants and selected the best ...

Recently, U-Net has dominated the medical image segmentation. In the KiPA challenge, we evaluated several U-Net variants and selected the best models for the ...

In this study, we developed a feasible and generalizable MDM-U-Net model for renal cancer structure segmentation, trained the model from the public KiPA22 ...

In this study, we developed a feasible and generalizable MDM-U-Net model for renal cancer structure segmentation, trained the model from the public KiPA22 ...

To automatically evaluate renal masses in CT images by using a cascade 3D U-Net- and ResNet-based method to accurately segment and classify focal renal ...

Jul 19, 2024 · This paper proposes STC-UNet, a kidney tumor segmentation model that enhances feature extraction at different network levels.

We present a multi-scale supervised 3D U-Net, MSS U-Net to segment kidneys and kidney tumors from CT images.

Sep 6, 2022 · In this paper, we evaluated three U-Nets on the KiPA challenge dataset (renal structure segmentation). In our experiments, deeper U-Net shows ...

Here, we developed and validated deep learning networks for the segmentation of histologic structures on kidney biopsies and nephrectomies. For development, we ...

Jul 3, 2024 · The segmentation of the urinary system using the modified U-Net proposed in this study could be the basis for the detection of kidney, ureter, ...