Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems and presented a deep learning-driven convolutional neural network approach ...

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...