Spread the love“`html Keras has emerged as one of the most popular deep learning libraries in recent years, notable for its simplicity and ease of use. Whether you’re a seasoned data scientist or a ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

A whistle stop tour of how to use the latest image classification techniques to build and understand a deep neural network bird classifier This is an investigation using PyTorch CNNs of deep image ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...

Background: Flat foot deformity is a prevalent and challenging condition often leading to various clinical complications. Accurate identification of abnormal foot types is essential for appropriate ...

Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...

Dr. James McCaffrey of Microsoft Research tackles how to define a network in the second of a series of four articles that present a complete end-to-end production-quality example of binary ...

To better address the recognition of abnormalities among mammographic images, in this study we apply the deep fusion learning approach based on Pre-trained models to discover the discriminative ...

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related mortality and is currently the main cause of liver-related death, leading to more than one million deaths annually ...

This is a research project submitted for credit for a course that we just completed. The results seen here are subjective and should not be considered as final or accurate. In this study, we try to ...