Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.
Paula Alcaide-LeonP DufortAna Filipa GeraldoL AlshafaiPejman Jabehdar MaralaniJulian SpearsAditya BharathaPublished in: AJNR. American journal of neuroradiology (2017)
Support vector machine classification based on textural features of contrast-enhanced T1WI is noninferior to expert human evaluation in the differentiation of primary central nervous system lymphoma and enhancing glioma.
Keyphrases
- contrast enhanced
- machine learning
- magnetic resonance imaging
- diffusion weighted
- deep learning
- magnetic resonance
- diffuse large b cell lymphoma
- computed tomography
- endothelial cells
- diffusion weighted imaging
- cerebrospinal fluid
- artificial intelligence
- induced pluripotent stem cells
- pluripotent stem cells
- clinical practice