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Found 4 papers, 1 papers with code
Image Outlier Detection Without Training using RANSAC
Furthermore, we show that RANSAC-NN can enhance the robustness of existing methods by incorporating our algorithm as part of the data preparation process.
Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network
In this work, we present a multi-task lung nodule detection algorithm for chest radiograph analysis.
Effective Medical Test Suggestions Using Deep Reinforcement Learning
Effective medical test suggestions benefit both patients and physicians to conserve time and improve diagnosis accuracy.
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
This paper proposes REFUEL, a reinforcement learning method with two techniques: {\em reward shaping} and {\em feature rebuilding}, to improve the performance of online symptom checking for disease diagnosis.
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