An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...

A research team led by two University of Maine Ph.D. students developed an artificial intelligence (AI) system that could ...

Pralohith Reddy Chinthalapelly, a Senior Data Science Analyst, advances AI in medical research through deep learning organ ...

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...

Predictions of overall survival (OS) and progression-free survival (PFS) for specific therapeutic interventions in newly diagnosed glioblastoma multiforme (GBM) using Cellworks Singula: myCare-024-04.

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

This study is led by Professor Wanneng Yang (National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei ...

A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are ...

Deep Learning is probably the most popular form of machine learning at this time. Although not every problem boils down to a deep learning model, in domains such as computer vision and natural ...