AntonotnaWang/3DCellSeg
Official implementation of "A novel deep learning-based 3D cell segmentation framework for future image-based disease detection". (However, I think the title should be "3DCellSeg - a robust deep learning-based 3D cell instance segmentation pipeline".)
This tool helps biologists and medical researchers accurately identify individual cells within complex 3D microscope images, especially when cells are clustered together. You input 3D images of cell membranes, and it outputs precise segmentations highlighting each distinct cell. It's designed for scientists studying cellular structures and disease progression.
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Use this if you need to count, track, or analyze individual cells in dense, 3D microscopy data of cell membranes.
Not ideal if you are working with 2D images or require segmentation of structures other than cells.
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Last pushed
Apr 10, 2023
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