Cell segmentation using convolutional natural networks
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Updated
Jul 16, 2022 - Python
Cell segmentation using convolutional natural networks
Application for cell segmentation and analysis
-Segmentation on cell images
Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.
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.
This repository is dedicated to the segmentation of histological features in regenerated vascular tissues obtained from tissue-engineered vascular grafts (TEVGs) implanted in sheep.
This repository contains the Unet architecture built with Pytorch library. Here, the Unet architecture is used to perform the image segmentation.
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.
Large-scale cell segmentation with cellpose.
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
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
Deep-Learning enabled quantitative image analysis of for the yeast full life cycle
Source code for the paper "Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images"
Software developed to analyze how polyQ inclusion bodies interact with ER membranes in situ
A python script which is used for segmenting cells from provided phase contrast images. This is a university project.
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