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Cited by in F6Publishing
For: Su F, Sun Y, Hu Y, Yuan P, Wang X, Wang Q, Li J, Ji J. Development and validation of a deep learning system for ascites cytopathology interpretation. Gastric Cancer 2020;23:1041-50. [DOI: 10.1007/s10120-020-01093-1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Jin P, Ji X, Kang W, Li Y, Liu H, Ma F, Ma S, Hu H, Li W, Tian Y. Artificial intelligence in gastric cancer: a systematic review. J Cancer Res Clin Oncol. 2020;146:2339-2350. [PMID: 32613386 DOI: 10.1007/s00432-020-03304-9] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 4.5] [Reference Citation Analysis]
2 Victória Matias A, Atkinson Amorim JG, Buschetto Macarini LA, Cerentini A, Casimiro Onofre AS, De Miranda Onofre FB, Daltoé FP, Stemmer MR, von Wangenheim A. What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review. Comput Med Imaging Graph 2021;91:101934. [PMID: 34174544 DOI: 10.1016/j.compmedimag.2021.101934] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Igarashi S, Sasaki Y, Mikami T, Sakuraba H, Fukuda S. Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet. Comput Biol Med. 2020;124:103950. [PMID: 32798923 DOI: 10.1016/j.compbiomed.2020.103950] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
4 Chen Y, Xi W, Yao W, Wang L, Xu Z, Wels M, Yuan F, Yan C, Zhang H. Dual-Energy Computed Tomography-Based Radiomics to Predict Peritoneal Metastasis in Gastric Cancer. Front Oncol 2021;11:659981. [PMID: 34055627 DOI: 10.3389/fonc.2021.659981] [Reference Citation Analysis]