Add Slideflow #2521
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Add Slideflow #2521
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What is this Python project?
Slideflow is a deep learning library for digital pathology that provides a unified API for building, training, and testing models using Tensorflow or PyTorch.
Slideflow includes tools for whole-slide image processing, customizable deep learning model training with dozens of supported architectures, multi-instance learning, self-supervised learning, cell segmentation, explainability tools (including heatmaps, mosaic maps, GANs, and saliency maps), analysis of layer activations, uncertainty quantification, and more.
What's the difference between this Python project and similar ones?
Slideflow is a one-of-a-kind library in this field and I haven't come across a similar one with this level of robustness. A variety of fast, optimized whole-slide image processing tools are included, including background filtering, blur/artifact detection, stain normalization/augmentation, and efficient storage in *.tfrecords format. Model training is easy and highly configurable, with a straightforward API for training custom architectures. Slideflow can also be used as an image processing backend for external training loops, serving optimized tf.data.Dataset or torch.utils.data.DataLoader to read and process slide images and perform real-time stain normalization.
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