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Found 8 papers, 6 papers with code
TorchXRayVision: A library of chest X-ray datasets and models
TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models.
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
PadChest is a large-scale chest X-ray dataset that has almost 200 labels and multiple views available.
On the limits of cross-domain generalization in automated X-ray prediction
This large scale study focuses on quantifying what X-rays diagnostic prediction tasks generalize well across multiple different datasets.
Towards unstructured mortality prediction with free-text clinical notes
Healthcare data continues to flourish yet a relatively small portion, mostly structured, is being utilized effectively for predicting clinical outcomes.
Is graph-based feature selection of genes better than random?
Gene interaction graphs aim to capture various relationships between genes and represent decades of biology research.
On summarized validation curves and generalization
The validation curve is widely used for model selection and hyper-parameter search with the curve usually summarized over all the training tasks.
Analysis of Gene Interaction Graphs as Prior Knowledge for Machine Learning Models
Gene interaction graphs aim to capture various relationships between genes and can represent decades of biology research.
Do Lateral Views Help Automated Chest X-ray Predictions?
Most convolutional neural networks in chest radiology use only the frontal posteroanterior (PA) view to make a prediction.
