Deep neural networks have transformed numerous fields by learning hierarchical representations from vast datasets. However, their performance critically depends on the quality of labelled data. Noisy ...

The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...

Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and ...

Artificial intelligence (AI) machine learning is a powerful tool for its predictive capabilities in finding tiny needles of meaningful patterns in large haystacks of real-world data. From this vantage ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in large radiographic ...

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 ...