Machine learning‑based radiomics models accurately predict Crohn's disease‑related anorectal cancer-Reference-Cited by-同舟云学术

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Machine learning‑based radiomics models accurately predict Crohn's disease‑related anorectal cancer

Published:2024-07-03 Issue:3 Volume:28 Page:
ISSN:1792-1074
Container-title:Oncology Letters
language:
Short-container-title:Oncol Lett

Author:

Horio Yuki¹,Ikeda Jota²,Matsumoto Kentaro³,Okada Shinichiro³,Nagano Kentaro¹,Kusunoki Kurando¹,Kuwahara Ryuichi¹,Kimura Kei¹,Kataoka Kozo¹,Beppu Naohito¹,Uchino Motoi¹,Ikeda Masataka¹,Okadome Takeshi³,Yamakado Koichiro²,Ikeuchi Hiroki¹

Affiliation:

1. Department of Gastroenterological Surgery, Hyogo Medical University, Nishinomiya, Hyogo 663‑8501, Japan

2. Department of Radiology, Hyogo Medical University, Nishinomiya, Hyogo 663‑8501, Japan

3. Department of Science and Engineering, Kwansei Gakuin University, Sanda, Hyogo 669‑1330, Japan

Publisher

Spandidos Publications

Reference39 articles.

1. Current state of and problems related to cancer of the intestinal tract associated with Crohn's disease in Japan;Higashi;Anticancer Res,2016

2. Clinicopathological characteristics of cancer associated with Crohn's disease;Sasaki;Surg Today,2017

3. Pathologic features of colorectal carcinomas associated with Crohn's disease in Korean population;Kim;Pathol Res Pract,2017

4. Intestinal cancer in patients with Crohn's disease: A systematic review and meta-analysis;Uchino;J Gastroenterol Hepatol,2021

5. Cancer risk in Japanese Crohn's disease patients: Investigation of the standardized incidence ratio;Yano;J Gastroenterol Hepatol,2013

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