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Deep Learning-Based Automatic Detection of Brain Metastases in Heterogenous Multi-Institutional Magnetic Resonance Imaging Sets: An Exploratory Analysis of NRG-CC001

Ying Liang, Karen Lee, Joseph Bovi, Joshua D. Palmer, Paul D. Brown, Vinai Gondi, Wolfgang A. Tomé, Tammie L.S. Benzinger, Minesh P. Mehta, X. Allen Li

2022International Journal of Radiation Oncology*Biology*Physics26 citationsDOIOpen Access PDF

Topics & Concepts

Artificial intelligenceSørensen–Dice coefficientConvolutional neural networkTest setPattern recognition (psychology)Magnetic resonance imagingDiceSegmentationSimilarity (geometry)Normalization (sociology)MedicineData setCross-validationDeep learningFalse positive rateComputer scienceImage segmentationRadiologyStatisticsMathematicsImage (mathematics)SociologyAnthropologyBrain Metastases and TreatmentMRI in cancer diagnosisAdvanced MRI Techniques and Applications
Deep Learning-Based Automatic Detection of Brain Metastases in Heterogenous Multi-Institutional Magnetic Resonance Imaging Sets: An Exploratory Analysis of NRG-CC001 | Litcius