Automated glioma grading on conventional MRI images using deep convolutional neural networks

Purpose Gliomas are the most common primary tumor of the brain and are classified into grades I‐IV of the World Health Organization (WHO), based on their invasively histological appearance. Gliomas grading plays an important role to determine the treatment plan and prognosis prediction. In this stud...

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Veröffentlicht in:	Medical physics (Lancaster) 2020-07, Vol.47 (7), p.3044-3053
Hauptverfasser:	Zhuge, Ying, Ning, Holly, Mathen, Peter, Cheng, Jason Y., Krauze, Andra V., Camphausen, Kevin, Miller, Robert W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain Neoplasms - diagnostic imaging brain tumor convolutional neural networks deep learning Glioma - diagnostic imaging Glioma grading Humans Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging MRI image Neural Networks, Computer
Online-Zugang:	Volltext
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