Codebase for "A Foundation Model for Cell Segmentation"
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47,133 repositories indexed
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基于 PatchCore 的工业异常检测项目,研究 layer2/layer3 分数融合、敏感性引导收缩与风险受控门控,并提供 Streamlit 工程化 Demo。
- anomaly-detection
- computer-vision
- feature-fusion
- industrial-anomaly-detection
Cell tracking and segmentation software
- cell-segmentation
- cell-tracking
- cell-tracking-challenge
- gurobi
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
PyTorch Connectomics: segmentation toolbox for EM connectomics
- computer-vision
- neuroscience
- connectomics
- pytorch
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
Axon/Myelin segmentation using Deep Learning
- deep-learning
- machine-learning
- myelin
- axon
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
- biology
- fluorescence
- image-analysis
- image-processing
Toolbox for the analysis of smFISH images.
- pattern-classification
- rna-localization
- segmentation
- smfish
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
Tool for segmentation in bioimaging
- napari
- bioimage-analysis
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
- deep-learning
- semantic-segmentation
- segmentation
- pytorch
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.