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 ...

With deep learning algorithms, standard CT technology produces spectral images. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2020 / 10 / 201019133700.htm ...

Self-teaching deep learning algorithm can find similar cases in large pathology image ... Chen, C., et al. (2022) Fast and scalable search of whole-slide images via self-supervised deep learning.

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 ...

Canon has developed new deep learning algorithms that can correct all known image defects. In a new paper, released in Japanese on Canon's global website, the company has unveiled a new deep learning ...

Ability to Handle Complex Data: Deep learning is particularly well-suited to analyzing unstructured data, such as images, video, and text, which traditional algorithms struggle with.

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...