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Found 3 papers, 1 papers with code
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
In this work, we propose a multi-modal Convolutional Neural Network (CNN) approach for brain tumor segmentation.
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
The analysis shows that the performance of DL models for single modality (CT / MR) can show reliable volumetric analysis performance (DICE: 0. 98 $\pm$ 0. 00 / 0. 95 $\pm$ 0. 01) but the best MSSD performance remain limited (21. 89 $\pm$ 13. 94 / 20. 85 $\pm$ 10. 63 mm).
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning
In this study, we address the problem of efficient exploration in reinforcement learning.
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