For the algorithm training, the participating teams had access to a large annotated PET/CT dataset. All algorithms submitted for the final phase of the competition are based on deep learning methods.

Python can be used for image recognition and analysis by using libraries like OpenCV, TensorFlow, and Keras. These libraries offer a wide range of tools and algorithms for image recognition ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

[4] Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nature Machine Intelligence (2019).

Image retargeting techniques and algorithms are designed to adapt visual content for displays of varying resolutions and aspect ratios while preserving vital image characteristics.

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...