Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

A new deep learning algorithm has been developed that can study PET scan images and detect the onset of Alzheimer’s six years earlier than current diagnostic methods. The research is part of a ...

The deep learning algorithm was based on a convolutional neural network trained using a data set of brain images from a database known as the Alzheimer’s Disease Neuroimaging Initiative. The ...

A deep learning algorithm based on 2D Pix-2-Pix generative adversarial network (GAN) architecture was developed from paired AC-PET and NAC-PET images. 18F-DCFPyL PSMA (prostate-specific membrane ...

Arrows show lesions that have lower detectability in the non-TOF reconstructed image than in the deep learning for TOF (DL-TOF) reconstructions. (Courtesy: CC BY 4.0/Eur. J. Nucl. Med. Mol. Imaging 10 ...

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Cuffari, Benedette. (2025, April 07). Using Deep Learning for Brain Imaging Data Analysis.