SpaGCN
by jianhuupenn
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
AI summary
Tissue segmentation tool
An algorithmic framework to integrate gene expression data with spatial location and histological information to identify distinct regions in tissue samples.
- stars
- 198
- forks
- 61
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Video Segmentation Library
This project provides code and pre-trained models for object segmentation in videos using a spatial propagation network.
Spatial Transcriptomics Analyzer
A software framework for learning spatial embeddings from high-dimensional transcriptomics data using an adaptive graph attention auto-encoder
Medical segmentation model
A deep learning implementation of a multi-path network architecture for medical image segmentation
Semantic Segmentation Network
This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks.
Segmentation network
An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend.
Image segmentation framework
A MATLAB-based framework for semantic image segmentation and dense prediction tasks using multi-path refinement networks.
Cell segmentation tool
An open-source software package for probabilistic cell segmentation in spatial transcriptomics
Spatial Transcriptomics Solver
Software implementation of graph-based AI method for decomposing spatial transcriptomics data
Graph processor
An implementation of learnable graph convolutional networks for efficient graph processing
Segmentation framework
An implementation of a lightweight semantic segmentation model with real-time performance capabilities
Brain Tumor Segmentation Network
This repository demonstrates how to train a U-Net neural network for brain tumor segmentation using medical imaging data.
Image Segmentation Tool
A tool for cell instance aware segmentation in densely packed 3D volumetric images
cell network inference tool
An R package that infers cell-cell communication and ligand-receptor-target networks from spatially resolved transcriptomic data
Segmentation network
An implementation of a fully convolutional network architecture for image segmentation using VGG weights.
Liver segmentation
A method to segment liver lesions from CT scans using CNNs with a cascaded architecture and detector
