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Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images

Daiki Shimokawa, Kengo Takahashi, Daiya Kurosawa, Eichi Takaya, Ken Oba, Kazuyo Yagishita, Toshinori Fukuda, Hiroko Tsunoda, Takuya Ueda

2022Radiological Physics and Technology17 citationsDOI

Topics & Concepts

Breast cancerMedicineArtificial intelligenceReceiver operating characteristicConvolutional neural networkBreast imagingRadiologyDeep learningDigital Breast TomosynthesisMammographyNuclear medicineCancerComputer scienceInternal medicineAI in cancer detectionRadiomics and Machine Learning in Medical ImagingDigital Radiography and Breast Imaging
Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images | Litcius