slideflow
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Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Needed to allow for gradient for feature extractors to allow for training to match extacted features, and disable uint8 requirement.
Using [multi-stage build](https://docs.docker.com/build/guide/multi-stage/) avoids that development and intermediate files increase the image's size. Multi-stage build allows just copying the compiled files to the final image without the intermediate layers. Reduces...
## Feature Currently the MIL extension in slideflow studio redo tile extraction and feature extraction each time for slide predictions, which would take a long time. For robustness, is it...
## Description Thank you for the recent update of v2.3. I was trying to use the new function `sf.mil.get_mil_tile_predictions()` for CLAM model, but had encountered an error ## To Reproduce...
## Feature Compatibility and feature testing when running Slideflow Studio from Docker containers (as referenced in #240) ## Additional context GLFW OpenGL rendering and Tkinter both theoretically support Docker, so...
## Description When I create a `Dataset` on Windows platform, it cannot retrieved existed tfrecords. ## To Reproduce Create a dataset like the following, with tfrecords in the folder, the...
## Feature Not sure if it's already in the plan but it'd be great if we can incorporate multimodal data in MIL just like the regular train() dose. ## Pitch...
## Description On my M1 Mac, after installing slideflow via conda and pip ## To Reproduce Steps to reproduce the behavior: 1. Installing packages Since I thought this was initially...
## Feature Support for customized optimizers during training allows for greater flexibility in training models. Some frameworks in WSI tasks consist of multiple networks. Right now, we can only build...
## Feature Solve compatibility issues with the Databricks platform. For example, zip file restrictions. ## Pitch Databricks have some unique restrictions which have caused compatibility issues with the slideflow. A...