The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs).

and neural networks to significantly cut the time required for medical professionals to classify lesions in breast cancer ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

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

The transformative aspect of merging quantum computing with classical neural networks has been phenomenal in this fast-paced ...

Radiologists who evaluate CT scans have diagnostic challenges due to the complexity of underlying anatomy and the potential ...

The new method assists the neural network in identifying cases where its forecast might require human verification. The research team tested the technology on real-world data, including medical ...

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of ...

A TPU (Tensor Processing Unit) is a type of specialized hardware accelerator designed by Google specifically for machine ...