jeya-maria-jose/UNeXt-pytorch
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
This project helps medical professionals rapidly and accurately outline specific regions or structures within medical images, a process known as image segmentation. You input various medical images (like dermatology or ultrasound scans), and it outputs precise segmented masks that highlight areas of interest. Radiologists, dermatologists, or sonographers can use this for quick diagnostics or analysis in time-sensitive clinical settings.
553 stars. No commits in the last 6 months.
Use this if you need to perform fast and efficient segmentation of medical images for point-of-care applications where speed and accuracy are crucial.
Not ideal if your primary concern is exploring novel deep learning architectures rather than practical, high-speed medical image analysis.
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553
Forks
81
Language
Python
License
MIT
Category
Last pushed
Sep 09, 2023
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