Comment on Lee et al. Accuracy of New Deep Learning Model-Based Segmentation and Key-Point Multi-Detection Method for Ultrasonographic Developmental Dysplasia of the Hip (DDH) Screening. Diagnostics 2021, 11, 1174

Abstract

We have read the article titled “Accuracy of New Deep Learning Model-Based Segmentation and Key-Point Multi-Detection Method for Ultrasonographic Developmental Dysplasia of the Hip (DDH) Screening” by Lee et al. [...]

Reply to Çiftci, S.; Aydin, B.K. Comment on “Lee et al. Accuracy of New Deep Learning Model-Based Segmentation and Key-Point Multi-Detection Method for Ultrasonographic Developmental Dysplasia of the Hip (DDH) Screening. Diagnostics 2021, 11, 1174”

“…We appreciated his feedback. Specifically, Dr. Sadettin Ciftci pointed out that image and B angle measurements in our article are insufficient in order to be able to consider reliability of the AI method in the use of DDH screening [ 1 ].…”

“…This is probably the fundamental problem of ultrasound caused by the lack of clear boundaries in soft tissue labrum, and in our study, the ICC of beta angle for beta angle measurement using artificial intelligence rose to about 0.74. Although the use of alpha angle is preferred for DDH screening using ultrasound, it is thought that beta angle can also be used [ 1 ].…”