Abstract: This study uses computer vision techniques to combine EfficientNet-3D and 3D Residual neural network(3DResnet) deep learning architecture to detect brain tumours in magnetic resonance ...

Abstract: Convolutional neural networks (CNNs) have emerged as a preferred approach for medical image analysis. The dimensionality of images is a principal factor in CNN models, as they are designed ...

Random items arrive in my mailbox, sparking an unboxing session that’s equal parts chaos and curiosity. Woman checks Bernese mountain dog's fur, sees something moving with a tail After winning his ...

Summary: Researchers have developed an AI-driven brain model that can track fear as it unfolds in real-world situations, offering a major shift from traditional lab-based approaches. Classic fear ...

A half-billion-year-old fossil was found with intact internal organs, including its brain. 3D models revealed detailed anatomy; the fossil represents an early arthropod ancestor. Discovery aids ...

BrainMass is a Python library for whole-brain computational modeling using differentiable neural mass models. Built on JAX for high-performance computing, it provides tools for simulating brain ...