Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging
Tomoyuki Fujioka, Yuka Yashima, Jun Oyama, M. Mori, Kazunori Kubota, Leona Katsuta, Koichiro Kimura, Emi Yamaga, Goshi Oda, Tsuyoshi Nakagawa, Yoshio Kitazume, Ukihide Tateishi
Topics & Concepts
Convolutional neural networkMagnetic resonance imagingMalignancyMaximum intensity projectionReceiver operating characteristicContrast (vision)Dynamic contrastArtificial intelligenceBreast imagingIntensity (physics)Computer scienceDeep learningNuclear medicineMedicinePattern recognition (psychology)RadiologyBreast cancerPathologyMachine learningMammographyPhysicsCancerInternal medicineQuantum mechanicsAngiographyMRI in cancer diagnosisRadiomics and Machine Learning in Medical ImagingBreast Cancer Treatment Studies