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A Multiscale Polyp Detection Approach for GI Tract Images Based on Improved DenseNet and Single-Shot Multibox Detector
 
 
Article
Peer-Review Record

Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp Detection

Diagnostics 2023, 13(5), 966; https://doi.org/10.3390/diagnostics13050966
by Alba Nogueira-Rodríguez 1,2,*, Daniel Glez-Peña 1,2, Miguel Reboiro-Jato 1,2 and Hugo López-Fernández 1,2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Diagnostics 2023, 13(5), 966; https://doi.org/10.3390/diagnostics13050966
Submission received: 15 January 2023 / Accepted: 1 March 2023 / Published: 3 March 2023

Round 1

Reviewer 1 Report

Dear authors,

I found your manuscript to be concise and well-written. The introduction is relevant and theory-based. Sufficient information about the previous study findings is presented for readers to follow the present study rationale and procedures. The methods are generally appropriate. Overall, the results are precise.

 

The fact that the authors used negative samples for improving object detection is a plus. Also, I found beneficial the videos from supplementary files.  The reader can also see what the authors are talking about. 

Reviewer 2 Report

Good attempt at overall review of GI disease

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