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By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.
A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Pytorch & related libraries pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. Captum: Model interpretability and understanding for PyTorch.
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