Lightweight AI Reads Brain Tumor Scans and Knows When It Is Unsure
Researchers have built a 10.97-million-parameter neural network that classifies brain tumors on MRI with 99.2 percent accuracy while quantifying its ...
Researchers have built a 10.97-million-parameter neural network that classifies brain tumors on MRI with 99.2 percent accuracy while quantifying its ...
Researchers have developed an evidential deep learning framework that detects stroke with near-perfect accuracy while quantifying its own uncertainty in ...
A new multi-stream deep learning framework called MS-AtroNet combines convolutional, state-space, wavelet, and evidential components to classify Alzheimer's MRI slices ...
Researchers in Shanghai have developed TECL, a machine learning framework that treats conflicting opinions across multiple data views as valuable ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine