Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks

• Published in: AMIA ... Annual Symposium proceedings Vol. 2015; pp. 1899 - 1908
• Main Authors: Ertosun, Mehmet Günhan, Rubin, Daniel L
• Format: Journal Article
• Language: English
• Published: United States American Medical Informatics Association 2015
• Subjects: Automatic Data Processing; Brain Neoplasms - diagnostic imaging; Brain Neoplasms - pathology; Glioblastoma; Glioma - diagnostic imaging; Glioma - pathology; Humans; Image Processing, Computer-Assisted; Machine Learning; Neural Networks (Computer)

Brain glioma is the most common primary malignant brain tumors in adults with different pathologic subtypes: Lower Grade Glioma (LGG) Grade II, Lower Grade Glioma (LGG) Grade III, and Glioblastoma Multiforme (GBM) Grade IV. The survival and treatment options are highly dependent of this glioma grade...