StarDist - Object Detection with Star-convex Shapes
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Updated
Apr 27, 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]
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
Spatiotemporal modeling of spatial transcriptomics
Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].
Instance Segmentation with PyTorch & PyTorch Lightning.
StarDist plugin for napari
A Fiji/ImageJ plugin to generate ROIs from label images, allowing ROI erosion and quantification
Automated identification of cell boundaries from the pathological video data
Cell tracking and segmentation software
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
Software developed to analyze how polyQ inclusion bodies interact with ER membranes in situ
Tissue Cancer Segmentation project using multiple segmentation networks
Encoder-Decoder Cell and Nuclei segmentation models
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
A style-aware deep learning model for adaptive cell instance segmentation by contrastive fine-tuning.
Deep-Learning enabled quantitative image analysis of for the yeast full life cycle
Deep learning-based instance segmentation tool for roundish objects in 2D and 2D+t data
Real-time, interactive exploration of 3D image stacks
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