aind-large-scale-cellpose

StarDist - Object Detection with Star-convex Shapes

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"

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

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

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

Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.