References
- MillerKDSiegelRLLinCCCancer treatment and survivorship statistics, 2016CA Cancer J Clin201666427128927253694
- ChenWZhengRBaadePDCancer statistics in China, 2015CA Cancer J Clin201666211513226808342
- DubeyAKGuptaUJainSBreast cancer statistics and prediction methodology: a systematic review and analysisAsian Pac J Cancer Prev201516104237424526028079
- BremRFLenihanMJLiebermanJTorrenteJScreening breast ultrasound: past, present, and futureAJR Am J Roentgenol2015204223424025615743
- RaoAAFeneisJLalondeCOjeda-FournierHA pictorial review of changes in the BI-RADS fifth editionRadiographics201636362363927082663
- D’OrsiCJBassettLWBergWABreast imaging reporting and data system: ACR BI-RADS®4th edReston, VAAmerican College of Radiology2003
- D’OrsiCJSicklesEAMendelsonEBMorrisEAACR BI-RADS® Atlas, breast imaging reporting and data systemReston, VAAmerican College of Radiology2013
- LeeYJChoiSYKimKSYangPSVariability in observer performance between faculty members and residents using Breast Imaging Reporting and Data System (BI-RADS)-Ultrasound, Fifth Edition (2013)Iran J Radiol2016133e2828127853492
- DromainCBoyerBFerréRCanaleSDelalogeSBalleyguierCComputed-aided diagnosis (CAD) in the detection of breast cancerEur J Radiol201382341742322939365
- ChangRFWuWJMoonWKChenDRImprovement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysisUltrasound Med Biol200329567968612754067
- ChenCMChouYHHanKCBreast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networksRadiology2003226250451412563146
- HuangQLuoYZhangQBreast ultrasound image segmentation: a surveyInt J Comput Assist Radiol Surg201712349350728070777
- HanSKangHKJeongJYA deep learning framework for supporting the classification of breast lesions in ultrasound imagesPhys Med Biol201762197714772828753132
- KimKSongMKKimEKYoonJHClinical application of S-detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologistUltrasonography20173613927184656
- ChoEKimEKSongMKYoonJHApplication of computer-aided diagnosis on breast ultrasonography: evaluation of diagnostic performances and agreement of radiologists according to different levels of experienceJ Ultrasound Med201837120921628762552
- Di SegniMde SoccioVCantisaniVAutomated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching toolJ Ultrasound201821210511829681007
- MendelsonEBBergWAMerrittCRToward a standardized breast ultrasound lexicon, BI-RADS: ultrasoundSemin Roentgenol200136321722511475068
- ParkCSKimSHJungNYChoiJJKangBJJungHSInterobserver variability of ultrasound elastography and the ultrasound BI-RADS lexicon of breast lesionsBreast Cancer201522215316023584596
- DrudiFMCantisaniVGnecchiMMalpassiniFDi LeoNde FeliceCContrast-enhanced ultrasound examination of the breast: a literature reviewUltraschall Med2012337E1E722623129
- DrukkerKGruszauskasNPSennettCAGigerMLBreast US computer-aided diagnosis workstation: performance with a large clinical diagnostic populationRadiology2008248239239718574139
- ChabiMLBorgetIArdilesREvaluation of the accuracy of a computer-aided diagnosis (CAD) system in breast ultrasound according to the radiologist’s experienceAcad Radiol201219331131922310523
- ShenWCChangRFMoonWKComputer aided classification system for breast ultrasound based on Breast Imaging Reporting and Data System (BI-RADS)Ultrasound Med Biol200733111688169817681678
- ChoiJHKangBJBaekJELeeHSKimSHApplication of computer-aided diagnosis in breast ultrasound interpretation: improvements in diagnostic performance according to reader experienceUltrasonography201837321722528992680