FastPathology
Open-source software for deep learning-based analysis and visualization of whole slide images in digital pathology.
What is FastPathology?
FastPathology is an open-source software platform for deep learning-based analysis of whole slide images in digital pathology. It provides a graphical interface to deploy and run convolutional neural networks for tasks like segmentation, classification, and object detection on medical histopathology slides. The platform supports real-time visualization and multiple inference engines to accelerate model execution.
Digital pathology researchers, medical imaging scientists, and pathologists who need to apply deep learning models to whole slide images without extensive programming. It is also suitable for developers building tools for computational pathology.
FastPathology offers a code-free environment with a user-friendly GUI, making advanced deep learning accessible to non-programmers. Its support for multiple high-performance inference engines (TensorRT, OpenVINO, etc.) enables fast, real-time analysis of large whole slide images, which is critical in medical research and diagnostics.
Overview
⚡ Open-source software for deep learning-based digital pathology
Use Cases
Best For
- Deploying deep learning models for whole slide image analysis without writing code
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