Deep Learning Model Could Accurately Classify Brain Tumors After One MRI Scan
Scientists from the School of Medicine at Washington University have created a deep-learning model that can classify brain tumors using an MRI scan. One of the researchers involved in the study, Satrajit Chakrabarty, stated that the research was the first to identify the absence or presence of a tumor from an MRI scan and directly determine the tumor class. The most common types of intracranial tumors include acoustic neuroma, pituitary adenoma, meningioma, brain metastases, low-grade glioma and high-grade glioma. Each tumor type was documented via histopathology, which involves the surgical removal of tissue from the site of a cancer and…
