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Review
. 2023 Apr 12;8(6):249-251.
doi: 10.1016/j.vgie.2023.02.012. eCollection 2023 Jun.

Deploying automated machine learning for computer vision projects: a brief introduction for endoscopists

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Review

Deploying automated machine learning for computer vision projects: a brief introduction for endoscopists

Neal Mahajan et al. VideoGIE. .

Abstract

Video 1Deploying automated machine learning for computer vision projects: a brief introduction for endoscopists.

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Figure 1
Confusion matrix for Google AutoML computer-aided diagnosis model.

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References

    1. Glissen Brown J.R., Mansour N.M., Wang P., et al. Deep learning computer-aided polyp detection reduces adenoma miss rate: a United States multi-center randomized tandem colonoscopy study (CADeT-CS Trial) Clin Gastroenterol Hepatol. 2022;20:1499–1507.e4. - PubMed
    1. Chai J., Zeng H., Li A., et al. Deep learning in computer vision: a critical review of emerging techniques and application scenarios. Mach Learn Appl. 2021;6
    1. Waring J., Lindvall C., Umeton R. Automated machine learning: review of the state-of-the-art and opportunities for healthcare. Artif Intell Med. 2020;104 - PubMed
    1. Komer B., Bergstra J., Eliasmith C. Proceedings of the 13th Python in Science Conference. SciPy; 2014. Hyperopt-sklearn: automatic hyperparameter configuration for scikit-learn. Available at: https://conference.scipy.org/proceedings/scipy2014/pdfs/komer.pdf. Accessed April 4, 2023.
    1. Misawa M., Kudo S., Mori Y., et al. Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video) Gastrointest Endosc. 2021;93:960–967.e3. - PubMed

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