Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

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

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

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 ...

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...