Image segmentation - general superpixel segmentation & center detection & region growing
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Updated
Jan 4, 2022 - Python
Image segmentation - general superpixel segmentation & center detection & region growing
🤖 PyTorch toolkit for biomedical imaging ❤️
Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).
A Rat fMRI multi-center study
EndoL2H: Deep Super-Resolution for Capsule Endoscopy
Histology Image Viewer and Converter
Generate Synthetic Shapes in 3D for Biomedical Image Augmentation and Synthesis.
This repository contains a Python application using OpenCV for detecting mitosis in images. Aimed at researchers and biologists, it provides tools to automate the counting and identification of mitotic figures in microscopic images, supporting studies in cellular biology and medical diagnostics.
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