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Found 2 papers, 1 papers with code
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.
Feature Extraction for Machine Learning Based Crackle Detection in Lung Sounds from a Health Survey
We propose a machine learning based approach for detecting crackles in lung sounds recorded using a stethoscope in a large health survey.
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