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Found 4 papers, 2 papers with code
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
In this work, we provide a detailed review of recent and state-of-the-art research advances of deep reinforcement learning in computer vision.
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
The automatic classification of electrocardiogram (ECG) signals has played an important role in cardiovascular diseases diagnosis and prediction.
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
We then propose an appropriate roughness index and roughness distance for medical image segmentation analysis and evaluation.
Invertible Residual Network with Regularization for Effective Medical Image Segmentation
Among many successful network architectures, 3D Unet has been established as a standard architecture for volumetric medical segmentation.
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