Automated identification and quantification of metastatic brain tumors and perilesional edema based on a deep learning neural network

ConclusionThis paper introduces a deep learning model for the automated segmentation and quantification of brain metastatic tumors and perilesional edema trained using only T1cWI and T2WI. This technique could facilitate further research on metastatic tumors and perilesional edema as well as other intracranial lesions.
Source: Journal of Neuro-Oncology - Category: Cancer & Oncology Source Type: research