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 ...

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

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

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.

Deep learning (DL) models have rapidly become a popular and cost-effective tool for image classification within oncology. A major limitation of DL models is their vulnerability to adversarial images, ...