Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Oral potentially malignant disorders (OPMDs), characterized by a wide variety of types and diverse clinical manifestations, have always been difficult to diagnose and differentiate. All of them carry ...

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.

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

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

The global medical imaging market continues to grow steadily. Driven by an aging population, the rising prevalence of chronic ...