Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection-Reference-Cited by-同舟云学术

Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection

Published:2022-11-23 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Karaman Ahmet,Karaboga Dervis,Pacal Ishak^ORCID,Akay Bahriye,Basturk Alper,Nalbantoglu Ufuk,Coskun Seymanur,Sahin Omur

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-04299-1.pdf

Reference54 articles.

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4. Kaminski MF, Wieszczy P, Rupinski M et al (2017) Increased rate of adenoma detection associates with reduced risk of colorectal cancer and death. Gastroenterology 153:98–105. https://doi.org/10.1053/j.gastro.2017.04.006

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