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Review of Application of Convolutional Neural Network in Auxiliary Diagnosis of Colorectal Polyps

Publication ,  Journal Article
Kao, W; Li, M; Ma, J
Published in: Journal of Frontiers of Computer Science and Technology
March 1, 2024

Colorectal cancer is a malignant tumor that mainly occurs in the tissues of the colon and rectum, and its early detection and treatment are of great significance. The early detection and prevention of colorectal cancer mainly involves visual examination of the patient's intestines to screen for colorectal polyps, but manual examination has the disadvantage of high misdiagnosis rate. The auxiliary diagnostic system based on convolutional neural networks (CNN) has shown the most advanced performance in the diagnosis of colorectal polyps, and is currently a research hotspot in the field of computer-aided diagnosis. Based on important literature published in recent years, a systematic review of the application of convolutional neural networks in the auxiliary diagnosis of colorectal polyps is conducted. Firstly, the commonly used datasets in the field of colorectal polyp diagnosis are introduced, including image and video datasets. Secondly, the application of CNN in colorectal polyp detection, segmentation, and classification is systematically elaborated. The main improvement ideas, advantages and disadvantages, and performance of each algorithm are analyzed in depth, aiming to provide researchers with a more systematic reference, and summarize the interpretability of deep learning models. Finally, a summary of various algorithms for assisting the diagnosis of colorectal polyps based on CNN is provided, and future research directions are prospected.

Duke Scholars

Published In

Journal of Frontiers of Computer Science and Technology

DOI

ISSN

1673-9418

Publication Date

March 1, 2024

Volume

18

Issue

3

Start / End Page

627 / 645
 

Citation

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Chicago
ICMJE
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Kao, W., Li, M., & Ma, J. (2024). Review of Application of Convolutional Neural Network in Auxiliary Diagnosis of Colorectal Polyps. Journal of Frontiers of Computer Science and Technology, 18(3), 627–645. https://doi.org/10.3778/j.issn.1673-9418.2310062
Kao, W., M. Li, and J. Ma. “Review of Application of Convolutional Neural Network in Auxiliary Diagnosis of Colorectal Polyps.” Journal of Frontiers of Computer Science and Technology 18, no. 3 (March 1, 2024): 627–45. https://doi.org/10.3778/j.issn.1673-9418.2310062.
Kao W, Li M, Ma J. Review of Application of Convolutional Neural Network in Auxiliary Diagnosis of Colorectal Polyps. Journal of Frontiers of Computer Science and Technology. 2024 Mar 1;18(3):627–45.
Kao, W., et al. “Review of Application of Convolutional Neural Network in Auxiliary Diagnosis of Colorectal Polyps.” Journal of Frontiers of Computer Science and Technology, vol. 18, no. 3, Mar. 2024, pp. 627–45. Scopus, doi:10.3778/j.issn.1673-9418.2310062.
Kao W, Li M, Ma J. Review of Application of Convolutional Neural Network in Auxiliary Diagnosis of Colorectal Polyps. Journal of Frontiers of Computer Science and Technology. 2024 Mar 1;18(3):627–645.

Published In

Journal of Frontiers of Computer Science and Technology

DOI

ISSN

1673-9418

Publication Date

March 1, 2024

Volume

18

Issue

3

Start / End Page

627 / 645