A multi-modal deep learning model integrates clinical, pathomic, and radiomic features for glioma classification and grading.. JCO 40 , e14038-e14038 (2022). DOI: 10.1200/JCO.2022.40.16_suppl.e14038 ...

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

Deep learning transforms smartphone microscopes into laboratory-grade devices. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 04 / 180412102916.htm ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

WiMi's image classification system based on deep learning and machine learning models has a wide range of practical application scenarios, ...

The software supports CNN, DNN and KNN algorithms. The use of CNN and DNN are currently mainstream in the development of deep learning (DL) for ADC classification in the semiconductor industry. We ...

Automated Intent Classification Using Deep Learning (Part 2) Discover how to build an automated intent classification model by leveraging pre-training data using a BERT encoder, BigQuery, and ...