We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

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

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of ...

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

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

Tested across eight lettuce types, the system successfully visualizes pigment spatial distribution from individual leaves to full canopies, offering a ...