The study employs deep learning techniques, a subfield of machine learning, to automatically optimize computational models for tasks such as object detection, localization, and image classification.

They trained the algorithm by feeding it huge datasets — over 50,000 images — gathered as a part of PlantVillage, an open access online archive of plant photos including images of plant disease.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Machine learning algorithm decodes immune system’s hidden data for disease detection. ... Disease diagnostics using machine learning of B cell and T cell receptor sequences.

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

The study employs deep learning techniques, a subfield of machine learning, to automatically optimize computational models for tasks such as object detection, localization, and image classification.