According to Chakrabarty, machine and deep learning approaches using MRI data could potentially automate the detection and classification of brain tumors.

The idea behind federated learning is that training AI models to detect brain tumors early requires researchers to have access to large amounts of data, but it is also essential that the data ...

Neural networks trained with a camouflage detection step show enhanced accuracy and sensitivity in identifying brain tumors from MRI scans, mimicking expert radiologists. Study: Deep learning and ...

A new study published in the Journal of Theoretical Biology demonstrates how AI deep learning can predict brain tumor progression for glioblastoma from medical images to accelerate precision medicine.

They're using machine learning to fully analyze a patient's tumour, to better predict cancer progression. Researchers analyzed two sets of MRIs from each of five anonymous patients suffering from GBM.

Deep-learning system identifies difficult-to-detect brain metastases 25 Nov 2022 Computer-aided detection A patient treated with SRS to three prospectively identified metastases (PIMs, lower panel) ...

Using data from 71 institutions across six continents, the project demonstrated the ability to improve brain tumor detection by 33%.