Development of Assist Tool for Breast Examination Using the Principle of Ultrasonic Sensor : A Development and Validation Study
The accuracy of breast examinations and ultrasonography performed clinically to detect breast mass varies greatly depending on the physician's skill level, and the accuracy of breast examinations by non-experts is particularly low. In this study, we aimed to validate whether the concurrent use of ultrasound sensor technology is an efficient strategy for the purpose of improving the sensitivity of detecting breast masses through breast examination.
Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Breast Nodules
Breast Ultrasound Image Reviewed With Assistance of Deep Learning Algorithms
Comparison of Diagnostic Accuracy of Automated Volume Breast Scanner to Hand Held Ultrasound for Diagnostic Breast Exam
Using Deep Learning Methods to Analyze Automated Breast Ultrasound and Hand-held Ultrasound Images, to Establish a Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer.