Medical segmentation using UNET refers to a technique in medical image analysis where the UNET architecture is applied to segment structures or regions of interest in medical images. UNET is a convolutional neural network architecture commonly used for image segmentation tasks, particularly in biomedical image analysis.
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Medical segmentation using UNET refers to a technique in medical image analysis where the UNET architecture is applied to segment structures or regions of interest in medical images. UNET is a convolutional neural network architecture commonly used for image segmentation tasks, particularly in biomedical image analysis.
Kaushal-11/Medical-Segmentation-using-UNET
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Medical segmentation using UNET refers to a technique in medical image analysis where the UNET architecture is applied to segment structures or regions of interest in medical images. UNET is a convolutional neural network architecture commonly used for image segmentation tasks, particularly in biomedical image analysis.
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