Title: A colonial serrated polyp classification model using white-light ordinary endoscopy
images with an artificial intelligence model and TensorFlow chart
Version: 3 Date: 13 Oct 2023
Reviewer's report:
1. TensorFlow (https://www.tensorflow.org/) and CNN are implemented to construct our deep
learning model.  Although you used CNN based deep learning algorithm by utilizing the
tensforlow framework. Please rewrite it.
2.  This is a very basic study. The novelty lies in the dataset collection. The deep learning
techniques used in the process is not novel.
3. The authors should report the processing speed for the test time.
4. In the conclusion, the authors mention that their model can effectively help physicians
distinguish between TA, SSA, and hyperplastic polyps. I think this is only a study, there are
several advanced studies in the domain of computer science and colonoscopy. Some of the
popular works I know of are ResUNet++, TGANet, DoubleUNet,  Polyp-PVT, and PraNet.
5. The authors should mention that why they used Inception Net for this task. At least try with
ResNet-34 and 5ResNet50. to make the study more comprehensive.
Title: A colonial serrated polyp classification model using white-light ordinary endoscopy
images with an artificial intelligence model and TensorFlow chart
Version: 3 Date: 13 Oct 2023
Reviewer's report:
1. TensorFlow (https://www.tensorflow.org/) and CNN are implemented to construct our deep
learning model.  Although you used CNN based deep learning algorithm by utilizing the
tensforlow framework. Please rewrite it.
2.  This is a very basic study. The novelty lies in the dataset collection. The deep learning
techniques used in the process is not novel.
3. The authors should report the processing speed for the test time.
4. In the conclusion, the authors mention that their model can effectively help physicians
distinguish between TA, SSA, and hyperplastic polyps. I think this is only a study, there are
several advanced studies in the domain of computer science and colonoscopy. Some of the
popular works I know of are ResUNet++, TGANet, DoubleUNet,  Polyp-PVT, and PraNet.
5. The authors should mention that why they used Inception Net for this task. At least try with
ResNet-34 and 5ResNet50. to make the study more comprehensive.
Please review this paper.
user
Title: A colonial serrated polyp classification model using white-light ordinary endoscopy
images with an artificial intelligence model and TensorFlow chart
Version: 3 Date: 13 Oct 2023
Reviewer's report:
1. TensorFlow (https://www.tensorflow.org/) and CNN are implemented to construct our deep
learning model.  Although you used CNN based deep learning algorithm by utilizing the
tensforlow framework. Please rewrite it.
2.  This is a very basic study. The novelty lies in the dataset collection. The deep learning
techniques used in the process is not novel.
3. The authors should report the processing speed for the test time.
4. In the conclusion, the authors mention that their model can effectively help physicians
distinguish between TA, SSA, and hyperplastic polyps. I think this is only a study, there are
several advanced studies in the domain of computer science and colonoscopy. Some of the
popular works I know of are ResUNet++, TGANet, DoubleUNet,  Polyp-PVT, and PraNet.
5. The authors should mention that why they used Inception Net for this task. At least try with
ResNet-34 and 5ResNet50. to make the study more comprehensive.
assistant