For: | Togo R, Ishihara K, Mabe K, Oizumi H, Ogawa T, Kato M, Sakamoto N, Nakajima S, Asaka M, Haseyama M. Preliminary study of automatic gastric cancer risk classification from photofluorography. World J Gastrointest Oncol 2018; 10(2): 62-70 [PMID: 29467917 DOI: 10.4251/wjgo.v10.i2.62] |
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URL: | https://www.wjgnet.com/1948-5204/full/v10/i2/62.htm |
Number | Citing Articles |
1 |
Ren Togo, Nobutake Yamamichi, Katsuhiro Mabe, Yu Takahashi, Chihiro Takeuchi, Mototsugu Kato, Naoya Sakamoto, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama. Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography. Journal of Gastroenterology 2019; 54(4): 321 doi: 10.1007/s00535-018-1514-7
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2 |
Ren Togo, Takahiro Ogawa, Miki Haseyama. Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGAN. IEEE Access 2019; 7: 87448 doi: 10.1109/ACCESS.2019.2925863
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3 |
Chiharu Kai, Takahiro Irie, Yuuki Kobayashi, Hideaki Tamori, Satoshi Kondo, Akifumi Yoshida, Yuta Hirono, Ikumi Sato, Kunihiko Oochi, Satoshi Kasai. Estimating the Amount of Air Inside the Stomach for Detecting Cancers on Gastric Radiographs Using Artificial Intelligence: an Observational, Cross-sectional Study. Journal of Imaging Informatics in Medicine 2025; doi: 10.1007/s10278-025-01441-6
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4 |
Ling Liu, Junjie Lang, Yuelong Jin, Yan Chen, Weiwei Chang, Yingshui Yao, Jiegen Yu. The Value of Pepsinogen in GC Screening: A Systematic Review and Meta-Analysis. Gastroenterology Research and Practice 2019; 2019: 1 doi: 10.1155/2019/7087232
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