riadhassan/EDLDNet
Official pytorch implementation of Efficient Dual-line Decoder with Multi-Scale Convolutional Attention for Multi Organ segmentation which is published in Biomedical Signal Processing and Control Journal. DOI: https://doi.org/10.1016/j.bspc.2025.108611
This project helps medical professionals, like radiologists and researchers, accurately identify and outline different organs in medical scans. You feed it imaging data, such as CT or MRI scans of the abdomen, and it produces precise segmentations, which are essentially colored outlines of individual organs. This tool helps in tasks like disease diagnosis, treatment planning, and anatomical studies by providing clear boundaries for organs.
Use this if you need an efficient and accurate way to automatically segment multiple organs from medical imaging data, particularly for abdominal scans.
Not ideal if you need to segment tissues or structures other than organs, or if your primary focus is on other body regions outside the abdomen.
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Language
Python
License
MIT
Category
Last pushed
Nov 27, 2025
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0
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