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Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary ...

DL is a subdivision of machine learning, which is a subset of AI.Over the past two decades, deep learning has gained a great deal of attention. Deep learning requires large quantities of data and ...

The features of synthetic aperture radar (SAR) has been widely used in maritime surveillance. While various object detection techniques have been proposed, currently, the techniques for detecting ...

In orbit, more than 1,000 images are taken as learning data and transferred to the ground for use in satellite image application tests. The third goal is the application of this image identification ...

These guys have trained a machine-learning algorithm to create ground-level images simply by looking at satellite pictures from above. The technique is based on a form of machine intelligence ...