Nature

Multi-modal transformer architecture for medical image analysis and automated report generation

In modern medicine, radiology plays a vital role in diagnosis and treatment planning for a disease. Radiological Imaging techniques such as X-ray and magnetic resonance imaging (MRI) provide valuable ...
Nature

WiTUnet: A U-shaped architecture integrating CNN and Transformer for improved feature ...

Low-dose computed tomography (LDCT) has emerged as the preferred technology for diagnostic medical imaging due to the potential health risks associated with X-ray radiation and conventional computed ...
inc42

What Is Encoder-Decoder Architecture? Here’s All You Need to Know

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...
VentureBeat

A look under the hood of transfomers, the engine driving AI model evolution

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...