Python is recognized as one of the most commonly used programming languages worldwide, especially in the sphere of deep learning. Its adaptability and easy-to-use features make it an ideal ...

The graph below shows the total number of publications each year in Deep Learning for Cone-Beam Computed Tomography Image Synthesis. References [1] Synthetic CT generation from CBCT using double ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

This repository is the official implementation of An Improved Deep Learning Framework for MR-to-CT Image Synthesis with a New Hybrid Objective Function. If you use this code for your research, please ...

Deep learning for analyzing bacterial biofilm images, including 3D GAN image synthesis, dataset quality assessment with SSQA, and a downstream cell segmentation test using 3D u-net. Paper: J. Wang, N.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Now, utilizing advances in deep learning for natural language modeling, Microsoft has announced a first in programming language modeling. "We have been working tirelessly to enable IntelliCode for ...

Stable Diffusion is a deep learning image synthesis model that allows people to create fictional scenes using text descriptions called prompts. With an additional technique called Dreambooth, ...