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 unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer.

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.

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.

Researchers at the University of Waterloo have created a computational model to predict the growth of deadly brain tumours more accurately.

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) ...

The samples taken during surgery are about the size of a kernel of corn, and if they include some healthy brain tissue, the deep learning system may struggle to pick out enough tumor-specific markers.