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.

It’s important to note that, in the domain of AI (i.e., computers that can imitate human intellect and behavior), deep learning is a subset of ML, and ML is a subset of AI. Commonly, ML algorithms ...

Deep learning models use various techniques—such as image classification, object detection, segmentation and optical character recognition (OCR)—to extract features from images and are trained ...

Precision medicine is a fast-growing field whereby medical treatments are tailored to individual patients – taking factors like genetics and lifestyle into account. A key part of this process is ...

Chennai: In a major push to build deep-tech capabilities in India’s workforce, IITM Pravartak Technologies Foundation, the ...

Deep learning algorithms allow computers to learn from large amounts of data and are known for advancing the state of the art in the artificial intelligence field, leading to smarter cancer treatments ...

Earlier this year, Andrew Smith wrote about "Franken-algorithms" for The Guardian, suggesting that software in our lives had become complex and unpredictable and the consequences could be deadly.

Tohoku University. "New algorithm boosts multitasking in quantum machine learning." ScienceDaily. ScienceDaily, 10 December 2024. <www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm>.