In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

CNN is a classifier in machine learning and is an algorithm used to identify patterns of data such as images and videos using neural networks. The basic components for understanding CNN are as ...

As the title suggests, this paper studies various different deep convolutional neural network architectures and various techniques to use these CNNs for CADe (Computer Aided Detection) tasks. With the ...

To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.

All content within this repository, including but not limited to source code, models, algorithms, data, and documentation, ... An ensemble deep learning model for risk stratification of invasive lung ...

Deep learning algorithms are excellent at pattern-matching in images. This technique could streamline the process of reading medical scans Leon Neal/Getty Images Europe/Getty Images ...

RetinaNet is a one-stage high-accuracy deep learning algorithm that uses a Feature Pyramid Network (FPN) chelation on CNN as its backbone network. It attaches two sub-networks respectively for anchor ...