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.

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.

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 ...

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.

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 ...