SlideFlow

I couldn't find information about SlideFlow on the same webpage, but here is what I found on the web:

Slideflow is a deep learning library designed specifically for digital pathology [1, 2, 3]. It provides a user-friendly interface for researchers to develop machine learning models to analyze digital pathology images.

Here are some key features of Slideflow [1, 2, 3]:

• Supports both TensorFlow and PyTorch: You can use whichever deep learning framework you prefer.
• Efficient whole-slide image processing: Slideflow can process large whole-slide images quickly and efficiently [1, 3].
• Stain normalization and augmentation: Slideflow can normalize the staining of tissue samples and augment them to improve the performance of machine learning models [1, 3].
• Uncertainty quantification: Slideflow can provide uncertainty estimates for its predictions, which can be helpful for understanding the reliability of the model.
• Multiple-instance learning: Slideflow supports multiple-instance learning, which is a type of learning that can be used for tasks such as whole-slide classification.

Overall, Slideflow is a powerful tool that can be used to develop machine learning models for a variety of digital pathology tasks.