Cell segmentation using convolutional natural networks
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Updated
Jul 16, 2022 - Python
Cell segmentation using convolutional natural networks
Quantifying 2D cell shape and epithelial tissue dynamics
Source code for the paper "Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images"
Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].
🔬 A U-Net based deep learning architecture for cell segmentation
This repository contains the Unet architecture built with Pytorch library. Here, the Unet architecture is used to perform the image segmentation.
A small GUI application for counting cells in microscope images
The code implementation for cell segmentation
A python script which is used for segmenting cells from provided phase contrast images. This is a university project.
Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.
Application for cell segmentation and analysis
-Segmentation on cell images
Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
Cell image analysis pipeline for RPE cell identification, counting and maturity classification
Code repository for the conference paper "Organoid Segmentation Using Self-Supervised Learning: How Complex Should the Pretext Task Be?" published and presented at the International Conference on Biomedical and Bioinformatics Engineering (ICBBE) 2023.
Napari-based 3D cell segmentation software using machine learning predictions as inputs, especially for EM image stacks of brains
A snakemake pipeline to perform cell segmentation on MERFISH spatial transcriptomics data.
Segmentation models with pretrained backbones. PyTorch. for Google Colab cell motility segmentation example.
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