a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
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Updated
May 29, 2025 - Python
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
QuPath - Open-source bioimage analysis for research
StarDist - Object Detection with Star-convex Shapes
Segment Anything for Microscopy
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Spatiotemporal modeling of spatial transcriptomics
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
数据可视化, 数据挖掘, 数据处理 ETL分析
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
Scalable Instance Segmentation using PyTorch & PyTorch Lightning.
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
Cell tracking and segmentation software
Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].
Encoder-Decoder Cell and Nuclei segmentation models
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
PyTorch implementation of several neural network models for cellular image segmentation
ClusterMap for multi-scale clustering analysis of spatial gene expression
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