At the University of Electro-Communications, a research team led by Mizuho Asako, Yasuyuki Tahara, Akihiko Ohsuga, and Yuichi Sei has developed a new deep learning model called "HikingTTE" that ...
Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...
Validating a semantic similarity approach for automated data extraction in phase II oncology trials. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results