Abstract: Deep learning models are often used to process radi-ological images automatically and can accurately ... neural model, ResNet152, as a neural transfer approach. The presented framework uses ...

The cloud connection can pose additional limits to where image segmentation can be used ... deep semantic segmentation network tailored for TinyML applications.” The AttendSeg deep learning ...

Abstract: Optimization strategies in deep learning models require different techniques for different use cases ... deep learning model on the edge computing environment is proposed for image ...

Using deep learning, scientists can ... model based on the ResNet architecture. This model was specifically designed to classify molecules as either SMMs or non-SMMs by analyzing their 3D molecular ...

Artificial intelligence is playing an increasingly vital role in modern medicine, particularly in interpreting medical images ...

Study: Impact of a deep learning sepsis prediction model on quality of care and survival. Image Credit ... In addition, this model can tackle large, multimodal datasets containing clinical ...

A form of machine intelligence called deep learning is the basis of these image recognition systems ... type of machine learning being used, data scientists usually begin constructing a model by ...

In particular, the use of deep learning to analyse medical images and improve the accuracy of disease diagnosis is a rapidly growing area of interest. But AI is not perfect. A new study has revealed ...