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Development and Validation of a Modified Three-Dimensional U-Net Deep-Learning Model for Automated Detection of Lung Nodules on Chest CT Images From the Lung Image Database Consortium and Japanese Datasets

Kazuhiro Suzuki, Yujiro Otsuka, Yukihiro Nomura, Kanako K. Kumamaru, Ryohei Kuwatsuru, Shigeki Aoki

2020Academic Radiology44 citationsDOIOpen Access PDF

Topics & Concepts

Deep learningArtificial intelligenceMedicineFalse positive paradoxLungBootstrapping (finance)Nodule (geology)Confidence intervalComputer scienceDatabaseRadiologyMachine learningInternal medicineMathematicsEconometricsBiologyPaleontologyLung Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingCOVID-19 diagnosis using AI
Development and Validation of a Modified Three-Dimensional U-Net Deep-Learning Model for Automated Detection of Lung Nodules on Chest CT Images From the Lung Image Database Consortium and Japanese Datasets | Litcius