A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis

Round 1

Reviewer 1 Report

Please check attached file

Comments for author File: Comments.pdf

Author Response

The authors have effected all the suggested corrections and attached it the updated versions.

 

We highlighted what the paper proposes, results and the significance of work.
Introduction states the motivation, problem statement, and objective.
Authors added a paragraph at the end for paper organization.
Authors concluded the Related Work paragraph showing the research gap.
Authors discussed works suggested around breast cancer such as: El-Nabawy et al., (2020), and El-Nabawy et al., (2021)
Authors explained the dataset further with its samples, attributes and so on.
Discussions on the “improved” LDA,is expressed in the methodology
Algorithm 3.1 is explained.
In the Results section, discussions about features in the dataset is been stated.
The applied method is feature extraction
Table 2 shows comparison with similar works in literature and obtained evaluations
Authors highlighted the major shortcomings of the study performed.

Author Response File: Author Response.docx

Reviewer 2 Report

There are a lot of small paragraphs throughout the manuscript. It is advised to merge all the related paragraphs into a single big paragraph.

 

In Introduction section, it would be relevant to present the application of classification models in other cancers as well, citing some references.

 

It is advised to improve the figures quality, they are difficult to read.

 

Following articles are advised to be cited to improve the manuscript:

- 10.1109/MCSoC51149.2021.00057

- https://doi.org/10.3390/diagnostics12020491

- https://doi.org/10.1016/j.procs.2021.07.062

 

There are multiple punctuation errors, typos, grammatical mistakes throughout the manuscript. Please correct them.

 

The conclusion must be revised completely highlighting the major outcomes and strong aspects of the model and take-home-message from the results obtained.

 

Please highlight the major shortcomings of the study performed.

Author Response

Authors have effected all suggested corrections

The authors effected all suggested changes and corrections as follows:
Merged all the related paragraphs; Presented applications of cancer classification models and cited works in relation
Improved image qualities; Cited suggested articles and discussed them such as the : 10.1109/MCSoC51149.2021.00057, 10.3390/diagnostics12020491 as well as 10.1016/j.procs.2021.07.062
Authors corrected grammatical and punctuation errors throughout the manuscript. 
The conclusion is revised with major outcomes of the model discussed.

Author Response File: Author Response.docx