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This paper discusses the use of the VGG-16 model and CNN architecture for classifying brain tumors in MRI images. The focus is enhancing the existing accuracy attained in the diagnosis of tumors ...
New research reveals how a tiny chemical mark on RNA helps wire the brain during development.
Stanford's Eric Sun has created sophisticated machine learning frameworks that measure biological aging at single-cell resolution, discovering cell types that can dramatically accelerate or ...
Electroencephalogram (EEG) brain network embodies the brain’s coordination and interaction mechanism, and the transformations of emotional states are usually accompanied with changes in brain network ...
New tech accurately decodes slow, blurry brain cell signals into precise firing times. Unlike prior methods, this detailed chemical model is understandable and works in real-time, offering scientists ...
POSTECH researchers 3D print human brain model - guiding the axonal growth of neurons using the Bioengineered Neural Network (BENN).
(2) An Auto-EEG-Brain AGE prediction model based on the Gate Recurrent Unit (GRU) neural network method was constructed. (3) Using the constructed model, we evaluated the difference between the brain ...
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