We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Driven by the rapid advancements in artificial intelligence, computational pathology is emerging as a critical engine in the era of precision ...

Development in artificial intelligence has paved the path for the integration of computational pathology in clinical workflow, improving the accuracy and reducing the workload for medical ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

Abstract: Limited by the lack of supervisory information of unknown classes, the existing open set cross-domain hyperspectral image (HSI) classification methods often rely on threshold-based methods ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...

SCOTTSDALE, Ariz. — Tre'Vius Hodges-Tomlinson knows a good cornerback when he sees one — no matter if the school's three letters are ULM or TCU. So when he heard that the Horned Frogs were looking to ...