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Article
Peer-Review Record

Segmentation of Dental Restorations on Panoramic Radiographs Using Deep Learning

Diagnostics 2022, 12(6), 1316; https://doi.org/10.3390/diagnostics12061316
by Csaba Rohrer 1, Joachim Krois 1,2, Jay Patel 3, Hendrik Meyer-Lueckel 4, Jonas Almeida Rodrigues 1,5 and Falk Schwendicke 1,2,*
Reviewer 1:
Reviewer 2: Anonymous
Diagnostics 2022, 12(6), 1316; https://doi.org/10.3390/diagnostics12061316
Submission received: 6 May 2022 / Revised: 22 May 2022 / Accepted: 25 May 2022 / Published: 25 May 2022
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)

Round 1

Reviewer 1 Report

the manuscript requires extensive language editing 

provide more context about semantic segmentation and its advantage & disadvantage

in the introduction correct the spelling of anatomic landmarking 

why it is mentioned as 5times 3 fold cross-validation ? is it not 5 fold cross-validation? provide context 

 

 

Comments for author File: Comments.pdf

Author Response

Comment: The manuscript requires extensive language editing.

Our response: We revised the manuscript.

Comment: Provide more context about semantic segmentation and its advantage & disadvantage.

Our response: This was expanded on.

Comment: In the introduction correct the spelling of anatomic landmarking .

Our response: Done.

Comment: Why it is mentioned as 5times 3 fold cross-validation ? is it not 5 fold cross-validation? provide context 

Our response: This was revised.

 

Reviewer 2 Report

This study is a customized object segmentation study for dental diagnosis support, and I agree that it will be accepted in this journal without any additional information in its current state.

Author Response

Comment: This study is a customized object segmentation study for dental diagnosis support, and I agree that it will be accepted in this journal without any additional information in its current state.

Our response: Many thanks.

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