A team of researchers have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a new study.

Although deep learning methods such as the convolutional neural network (CNN), can be used for brain tumor image segmentation, the segmentation results based only on the traditional CNN method ...

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed ...

Diffusion MRI and machine learning models classify childhood brain tumours. The CNN demonstrated good generalization capability, scoring an accuracy of 91.95% on the external test data. The results ...

3D model of brain tumor environment could aid personalized treatment Date: August 1, 2022 Source: Virginia Tech Summary: Scientists have developed a novel 3D tissue-engineered model of the ...

TEL AVIV, Aug 18 – Researchers have used brain cancer patients’ own cells in a form of 3D printing material to make a model of their tumor to test the efficacy of potential treatments before ...

Among them, magnetic resonance imaging (MRI) plays an important role in the diagnosis of brain tumors as a noninvasive and safe modality, providing clear and strong contrast.