a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
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Updated
Nov 25, 2025 - Python
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
StarDist - Object Detection with Star-convex Shapes
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]
Cell tracking and segmentation software
(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.
Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Encoder-Decoder Cell and Nuclei segmentation models
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
StarDist plugin for napari
Evolve your OpenCV Image Processing filters using Cartesian Genetic Programming
[CVPRW 2025] Official code of "IAUNet: Instance-Aware U-Net"
Automated identification of cell boundaries from the pathological video data
A Fiji/ImageJ plugin to generate ROIs from label images, allowing ROI erosion and quantification
Tissue Cancer Segmentation project using multiple segmentation networks
Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
Official and maintained implementation of the dataset paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures" [EMBC 2023].
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