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.

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 ...

This AI toolkit uses deep learning algorithms for its segmentation of tumors into four tissue categories consisting of non-tumoral, enhancing proliferative, peritumoral edema, and necrotic.

While deep learning-based segmentation methods have demonstrated state-of-the-art performance, they often rely on vast amounts of labeled data, which is expensive and time-consuming to obtain.

Next, the team recruited 15 healthy individuals aged 25-69 and acquired their brain images on the 0.055 T MRI scanner. Data were reconstructed using PF-SR as well as the non-DL method.

This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes. Unlike previous works that processed the input volumes slice-wise or patch-wise, the ...