Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer-Reference-Cited by-同舟云学术

Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer

Published:2022-04-07 Issue:5 Volume:60 Page:
ISSN:1019-6439
Container-title:International Journal of Oncology
language:
Short-container-title:Int J Oncol

Author:

Iwatate Yosuke¹,Yokota Hajime²,Hoshino Isamu³,Ishige Fumitaka¹,Kuwayama Naoki³,Itami Makiko⁴,Mori Yasukuni⁵,Chiba Satoshi¹,Arimitsu Hidehito¹,Yanagibashi Hiroo¹,Takayama Wataru¹,Uno Takashi²,Lin Jason⁶,Nakamura Yuki⁶,Tatsumi Yasutoshi⁶,Shimozato Osamu⁶,Nagase Hiroki⁶

Affiliation:

1. Division of Hepato‑Biliary‑Pancreatic Surgery, Chiba Cancer Center, Chiba 260‑8717, Japan

2. Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan

3. Division of Gastroenterological Surgery, Chiba Cancer Center, Chiba 260‑8717, Japan

4. Division of Clinical Pathology, Chiba Cancer Center, Chiba 260‑8717, Japan

5. Graduate School of Engineering, Faculty of Engineering, Chiba University, Chiba 263‑8522, Japan

6. Laboratory of Cancer Genetics, Chiba Cancer Center Research Institute, Chiba Cancer Center, Chiba 260‑8717, Japan

Publisher

Spandidos Publications

Subject

Cancer Research,Oncology

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