Brain imaging reveals how neural networks coordinate multiple streams at once

Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's ...
Hacker

Building a Facial Recognition Pipeline with Deep Learning in Tensorflow

In my last tutorial , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional neural network to perform facial recognition ...
Frontiers

Deep learning prediction of chemo-immunotherapy response using tumor perfusion ultrasound images

Tumor heterogeneity poses a significant challenge for predicting responses to cancer therapy, highlighting the need for the development of biomarkers to guide personalized treatment. Contrast-enhanced ...
Frontiers

NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN

A patient-disjoint, group-stratified hold-out benchmark is established for four-class kidney CT classification (Normal, Cyst, Tumor, Stone) on a 12,446-image multicenter cohort, and NephroNet — a ...
GitHub

Example 4.3.1 (Training and testing a CNN_Pytorch).ipynb

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices

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