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 ...

For example, algorithms based on deep learning can determine the location and size of tumors. This is the result ... New algorithm for classification of skin lesions. Jan 14, 2022. ...

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.

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids with greater ease. These synthetic drug compounds have emerged as a ...

Patients determined to be high risk by the deep-learning model had an unadjusted odds ratio (OR) for postoperative mortality of 9.17 (95% CI, 5.85-13.82) compared with an unadjusted OR of 2.08 (0. ...

Furthermore, deep learning algorithms trained with optical coherence tomography (OCT) data can detect microstructural damage due to glaucoma and its progression over time.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome. ScienceDaily . Retrieved July 24, 2025 from www.sciencedaily.com / releases ...