More information: Faris Rustom et al, Deep Learning and Transfer Learning for Brain Tumor Detection and Classification, Biology Methods and Protocols (2024). DOI: 10.1093/biomethods/bpae080 ...

While the best-performing proposed model was about 6% less accurate than standard human detection, the research successfully showed the quantitative improvement brought on by the training model.

The project will bring in 29 institutions from North America, Europe and India and will use privacy-preserved data to train AI models. Federated learning has been described as being born at the ...

“This investigation is the first of its kind to apply camouflage animal transfer learning to deep neural network training on a tumor detection and classification task,” wrote lead author Arash ...

The model, called a convolutional neural network (CNN), uses deep learning – a type of machine learning algorithm found in image recognition software – to recognize these tumours in MR images, based ...

More information: Cameron Meaney et al, Deep learning characterization of brain tumours with diffusion weighted imaging, Journal of Theoretical Biology (2022). DOI: 10.1016/j.jtbi.2022.111342 ...

The Philippine General Hospital (PGH) is studying the viability of using Taiwanese artificial intelligence (AI) software that can detect brain tumors in five minutes.

University of Waterloo. (2023, January 16). Using machine learning to predict brain tumor progression. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 01 ...