u-net and Unet-Segmentation
About u-net
ethanhe42/u-net
U-Net: Convolutional Networks for Biomedical Image Segmentation
This project helps medical professionals and researchers automatically identify nerve structures within ultrasound images. You provide raw ultrasound scans, and it outputs segmented images highlighting the nerve regions. This is primarily useful for radiologists, sonographers, and researchers analyzing medical imagery.
About Unet-Segmentation
lmb-freiburg/Unet-Segmentation
The U-Net Segmentation plugin for Fiji (ImageJ)
This plugin helps biologists, neuroscientists, and medical researchers analyze microscopy images by automatically outlining and segmenting structures like cells, organelles, or tissues. You feed it raw image data, and it outputs precisely segmented images, making quantitative analysis much easier. It's designed for anyone working with biological image data who needs to identify and measure specific regions.
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