StarDist - Object Detection with Star-convex Shapes
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Updated
Jul 18, 2024 - Python
StarDist - Object Detection with Star-convex Shapes
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Spatiotemporal modeling of spatial transcriptomics
(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].
Encoder-Decoder Cell and Nuclei segmentation models
Cell tracking and segmentation software
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
StarDist plugin for napari
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
Automated identification of cell boundaries from the pathological video data
Tissue Cancer Segmentation project using multiple segmentation networks
A Fiji/ImageJ plugin to generate ROIs from label images, allowing ROI erosion and quantification
Official and maintained implementation of the dataset paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures" [EMBC 2023].
Real-time, interactive exploration of 3D image stacks
Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
A style-aware deep learning model for adaptive cell instance segmentation by contrastive fine-tuning.
Cell Segmenter using Machine Learning
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