Title: A newly developed deep learning-based system for automatic detection and classification
of small bowel lesions during double-balloon enteroscopy examination
Version: 6 Date: 22 Nov 2023
Reviewer's report:
Dear authors,
I believe your article is almost ready for publication!
Table 2 is become a lot more insightful after revision, the only possible addition would be to
show both averages and standard deviations for the endoscopists, experts and novices, as to
show the variation in their assessments.
Instead of the ENDOANGEL/endoscopist predicted, I would suggest using detected or
diagnosed, since that is more specific in my opinion.
Suggestion for the last sentence in the conclusion:
The CAD system can be trained for the assessment of lesion size and the detection of obscure
small intestinal bleeding. It could also be used to write an automatic report, which will lessen
the administrative workload of endoscopists.
Title: A newly developed deep learning-based system for automatic detection and classification
of small bowel lesions during double-balloon enteroscopy examination
Version: 6 Date: 22 Nov 2023
Reviewer's report:
Dear authors,
I believe your article is almost ready for publication!
Table 2 is become a lot more insightful after revision, the only possible addition would be to
show both averages and standard deviations for the endoscopists, experts and novices, as to
show the variation in their assessments.
Instead of the ENDOANGEL/endoscopist predicted, I would suggest using detected or
diagnosed, since that is more specific in my opinion.
Suggestion for the last sentence in the conclusion:
The CAD system can be trained for the assessment of lesion size and the detection of obscure
small intestinal bleeding. It could also be used to write an automatic report, which will lessen
the administrative workload of endoscopists.
Please review this paper.
user
Title: A newly developed deep learning-based system for automatic detection and classification
of small bowel lesions during double-balloon enteroscopy examination
Version: 6 Date: 22 Nov 2023
Reviewer's report:
Dear authors,
I believe your article is almost ready for publication!
Table 2 is become a lot more insightful after revision, the only possible addition would be to
show both averages and standard deviations for the endoscopists, experts and novices, as to
show the variation in their assessments.
Instead of the ENDOANGEL/endoscopist predicted, I would suggest using detected or
diagnosed, since that is more specific in my opinion.
Suggestion for the last sentence in the conclusion:
The CAD system can be trained for the assessment of lesion size and the detection of obscure
small intestinal bleeding. It could also be used to write an automatic report, which will lessen
the administrative workload of endoscopists.
assistant