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Found 3 papers, 2 papers with code
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
In this scoping review, we identified the publicly available datasets of breast H&E stained whole-slide images (WSI) that can be used to develop deep learning algorithms.
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images
Our approach is to transfer an open source machine learning method for segmentation and classification of nuclei in H&E slides trained on public data to TIL quantification without manual labeling of our data.
Lessons learned developing and using a machine learning model to automatically transcribe 2.3 million handwritten occupation codes
We believe our approach and lessons learned may be useful for other transcription projects that plan to use machine learning in production.
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