Review for 10.1186/s12876-020-01494-7 (2020)

Reviewer’s report
Title: 
Deep Learning for Sensitive Detection of Helicobacter Pylori in Gastric
Biopsies
Version: 
2 
Date: 
07 Jul 2020
Reviewer's report:
It is very good idea to use the artificial Intelligence for Sensitive Detection of
Helicobacter Pylori in Gastric Biopsies. Some comments include:
1. The content of results section in abstract was not sufficient. Generally, results
section was the highest proportion in abstract.
2. I am still believed PCR have several weaknesses especially false positive. Is it
correct to use PCR as the gold standard? In addition, IHC usually as compliment
of giemsa staining. Is the IHC was validated before?
3. Why the number slices be used in each step of validation was different?
4. "This is in line with previous findings, where H. pylori DNA was found in
about 30% of cases that had been diagnosed as H. pylori -negative, based on
histo morphological assessment [26]." I think it is misleading conclusion. This
study was not determining H. pylori DNA.Q
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No
Are the methods appropriate and well described?
If not, please specify what is required in your comments to the authors.
Yes
Does the work include the necessary controls?
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authors.
No
Are the conclusions drawn adequately supported by the data shown?
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No
Are you able to assess any statistics in the manuscript or would you
recommend an additional statistical review?
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require further assessment in your comments to the editors.
I am able to assess the statistics
Quality of written English
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Acceptable
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