brain tumor
PulseAugur coverage of brain tumor — every cluster mentioning brain tumor across labs, papers, and developer communities, ranked by signal.
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Deep learning models achieve 97% accuracy in automated brain tumor detection
Researchers have developed a deep learning approach using Convolutional Neural Networks (CNNs) and Residual Networks (ResNets) to automate the detection of brain tumors in MRI images. The study applied transfer learning…
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AI models show promise in diagnosing neurodegenerative diseases from MRI scans
Researchers have developed advanced deep learning frameworks to improve the diagnosis of neurodegenerative diseases using MRI scans. One approach, NeuroBridge, utilizes a multi-task learning framework that integrates se…
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Hybrid AI models merge deep learning with physics for neurological disorder analysis
A new perspective paper explores hybrid modeling strategies that combine deep learning with physics-based solvers for neurological disorder analysis. These approaches, including residual modeling, Neural Ordinary Differ…