Next Article in Journal
Eye Tracking-Enhanced Deep Learning for Medical Image Analysis: A Systematic Review on Data Efficiency, Interpretability, and Multimodal Integration
Next Article in Special Issue
CoviSwin: A Deep Vision Transformer for Automatic Segmentation of COVID-19 CT Scans
Previous Article in Journal
Time Series Classification of Autism Spectrum Disorder Using the Light-Adapted Electroretinogram
Previous Article in Special Issue
Real-Time Object Detector for Medical Diagnostics (RTMDet): A High-Performance Deep Learning Model for Brain Tumor Diagnosis
 
 
Article
Peer-Review Record

Emulating Hyperspectral and Narrow-Band Imaging for Deep-Learning-Driven Gastrointestinal Disorder Detection in Wireless Capsule Endoscopy

Bioengineering 2025, 12(9), 953; https://doi.org/10.3390/bioengineering12090953
by Chu-Kuang Chou 1,2, Kun-Hua Lee 3,4, Riya Karmakar 4, Arvind Mukundan 4,5, Pratham Chandraskhar Gade 6, Devansh Gupta 7, Chang-Chao Su 1, Tsung-Hsien Chen 8, Chou-Yuan Ko 9,* and Hsiang-Chen Wang 4,10,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Bioengineering 2025, 12(9), 953; https://doi.org/10.3390/bioengineering12090953
Submission received: 8 July 2025 / Revised: 27 August 2025 / Accepted: 2 September 2025 / Published: 4 September 2025

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Although some parts of the article are highly technical and difficult to be followed by a doctor, the clinical implications are very clearly drawn by the authors, and the impact in increasing endoscopic diagnostic accuracy is high. This novel technique will be able to help WCE assessment in the future. Therefore I support the publication of this valuable research.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

This manuscript proposes a new framework SAVE for for deep learning–driven gastrointestinal disorder detection in WCE. The performance looks good, but there are many defects in it.
1.In Fig. 1, "Accuracy" equals "(TP+TN)/(TP+TN+FP+FN)", not "(TP+TN)(TP+TN+FP+FN)".
2.In Eq. (1), what are "C", "XYZ_spectrum", and "V"? What are their units?
3.In Eq. (1), what do the functions "[ ]" and "pinv" mean?
4.In Eq. (1), please show the sizes (columns and rows) of "[C]", "[XYZ_spectrum]", and "[V]" if "[ ]" denotes a matrix.
5.In Eq. (2), what is "XYZ_correct"? What is its unit?
6.What is the reference for Eqs. (1)-(2)?
7.In Eqs. (3)-(5), what do the functions "S", "R", "-x", "-y", and "-z" mean?
8.In Eqs. (3)-(5), the range for visible lights is 400-700nm. But, the range of real visible lights is 380-760nm. Is the integration range 400-700nm appropriate?
9.In lines 211-212, what are "V_color", "V_non-linear", and "V_dark"?
10.In Eq. (7), what are "M" and "Score"?
11.What is the reference for Eq. (7)?
12.In Eq. (8), what are "x", "x_0", and "gamma"? What are their units?
13.What is the reference for Eq. (8)?
14.What is the reference for "ResNet 50" in Sec. 2.3.1?
15.What is the reference for "MobileNetV2" in Sec. 2.3.2?
16.What is the reference for "MobileNetV3" in Sec. 2.3.3?
17.What is the reference for "Alex Net" in Sec. 2.3.4?
18.In Table 3, "WLI%" should be replaced by "WLI".
19.There are 8 classes of images, but only 5 classes of images are used in Tables 2-5. Why are the 3 classes "Normal Z-line", "Normal Cecum", and "Oesophagitis" not used?
In conclusion, there are almost no explanations for the parameters and functions of Eqs. (1)-(8). Major revision is necessary.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The content of the manuscript shows striking overlap with an already published article:
https://pubmed.ncbi.nlm.nih.gov/40647664/

This article from the same last author is not cited. This is clearly a form of unacceptable self-plagiarism. Therefore, I recommend rejecting the publication.  

Comments on the Quality of English Language

Does not apply

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

This revised manuscript is ready to be published.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

Dear authors,

Thanks for submitting a new version of the manuscript. However, even the latest version does not justify a publication. Substantially, there is not enough new data for a publication. This is a follow-up study with no new results and does not advance the field. 

Best regards

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Back to TopTop