Japan is famous for its beautiful mountain landscapes as well as for the challenges it offers to avid mountaineers. However, ...

In this study, an automated method for lumen, vessel wall, and plaque segmentation for quantitative assessment based on MR ...

Read more about Deep learning disrupts weather forecasting, with accuracy that could save millions on Devdiscourse ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning–based approach that significantly ...

The third model combined both radiomics and deep learning but, with an AUC of 0.829 (CI, 0.797 to 0.862) and a PPV of 0.254 (CI, 0.228 to 0.281) at a sensitivity of 0.780 (CI, 0.721 to 0.840), did not ...

Quantifying treatment response to gastroesophageal junction (GEJ) adenocarcinomas is crucial to provide an optimal therapeutic strategy. Routinely taken tissue samples provide an opportunity to ...

While Japan is renowned among mountaineers for its challenging mountain terrain, it is also known for its high number of ...