Detection and Classification of Breast Lesions with You Only Look Once Version 5
Mingzhu Meng, Ming Zhang, Dong Shen, Guangyuan He, Yi Guo
Abstract
YOLOv5s was the fastest and had the highest precision among the four YOLOv5 submodels for the detection and classification of breast lesions on dynamic contrast-enhanced MRI. It has a greater clinical application value.
Topics & Concepts
MedicineBreast MRIMammographyBI-RADSRadiologyBreast imagingDynamic contrastDiagnostic accuracyData setMagnetic resonance imagingArtificial intelligencePattern recognition (psychology)Nuclear medicineBreast cancerComputer scienceInternal medicineCancerRadiomics and Machine Learning in Medical ImagingAI in cancer detectionMRI in cancer diagnosis