The following is a summary of “Advancement and independent validation of a deep learning-based tool for automated scoring of ...

After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Beyond detection, the platform employs a large language model, specifically GPT-3.5, to recommend context-specific ...

Researchers sought to investigate the efficacy of a handcrafted ultrasomic model vs a deep-learning-based radiomic model in identifying infarcted myocardium using ultrasound video images.

By training a deep learning model with hundreds of confocal microscopy images, the team achieved a system capable of distinguishing cytoskeletal structures with high accuracy. Comparing their AI ...

At its core, deep learning is inspired by a simplified model of how the human brain works by building effective hierarchical representations of complex data. This course will explore applications and ...

Become a Member The center’s faculty seeks active engagement toward building a robust, comprehensive, and scalable solution for an end-to-end deep learning training and model-serving architecture.