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Automatic Detection of COVID-19 Cases on X-ray images Using Convolutional Neural Networks
In recent months the world has been surprised by the rapid advance of COVID-19.
Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes
Models trained with 128x128 random tiles from the data that used the RapidEye image, DEM information, and augmentation achieved the highest f1-score, 0. 55 in test area one, and 0. 58 in test area two.
Relict landslide detection using Deep-Learning architectures for image segmentation in rainforest areas: A new framework
Values of precision and recall were very similar between the combinations tested.
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