Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation Peer-Reviewed Publication Beijing Zhongke Journal Publising Co. Ltd.

In addition, the influence of external factors and different MRI acquisition methods may change the appearance of tumors or even produce artifacts, reducing image quality.

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.

A team of researchers at Washington University School of Medicine 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 ...

In addition to the institution's own internal data, the team obtained pre-operative, post-contrast T1-weighted MRI scans from the Brain Tumor Image Segmentation, The Cancer Genome Atlas ...