This work evaluates two advanced deep learning architecture: Convolutional Neural Network (CNN),VGG-16 model, EfficientNetB3 algorithm. Both are trained and tested using a dataset from the National ...

This study proposes a hybrid detection architecture to determine the presence of brain tumors. The system incorporates five different deep convolutional neural networks (CNNs) for feature extraction, ...

Researchers at Duke University Medical Center have developed a deep-learning-based computer-aided detection (CAD) system to identify difficult-to-detect brain metastases on MR images. The algorithm ...

Deep learning characterization of brain tumours with diffusion weighted imaging. Journal of Theoretical Biology , 2023; 557: 111342 DOI: 10.1016/j.jtbi.2022.111342 Cite This Page : ...

The University of Pennsylvania Perelman School of Medicine joined with Intel Labs to conduct a research study to improve brain tumor detection by using a kind of machine learning called Federated ML.

Worldwide, brain and central nervous system cancers accounted for over 321,000 new cases and 248,500 deaths in 2022, according to a Global Cancer Observatory report by the World Health ...

Intel Labs and the Perelman School of Medicine at the University of Pennsylvania today released a joint research study that used federated learning, a distributed machine learning and artificial inte ...

PFDeNA’s cancer research can be traced back to the vision of one of Japan’s pioneering entrepreneurs. In 1999, Namba Tomoko founded DeNA, a mobile and online services company that had ...