5G MEC+AI Pathology “Anti-Cancer Guardian”: Design of Intelligent Gastric Cancer Auxiliary Diagnosis and Warning Platform for Smart Hospital System
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61063-9_21
Reference8 articles.
1. Xia, J.Y., Aadam, A.A.: Advances in screening and detection of gastric cancer. J. Surg. Oncol. 125(7), 1104–1109 (2022). https://doi.org/10.1002/jso.26844.PMID:35481909;PMCID:PMC9322671
2. Niu, P.H., Zhao, L.L., Wu, H.L., Zhao, D.B., Chen, Y.T.: Artificial intelligence in gastric cancer: application and future perspectives. World J. Gastroenterol. 26(36), 5408–5419 (2020). https://doi.org/10.3748/wjg.v26.i36.5408.PMID:33024393;PMCID:PMC7520602
3. Oikawa, K., Saito, A., Kiyuna, T., Graf, H.P., Cosatto, E., Kuroda, M.: Pathological diagnosis of gastric cancers with a novel computerized analysis system. J. Pathol. Inform. 28(8), 5 (2017). https://doi.org/10.4103/2153-3539.201114.PMID:28400994;PMCID:PMC5359998
4. Qin, Y., Deng, Y., Jiang, H., Hu, N., Song, B.: Artificial intelligence in the imaging of gastric cancer: current applications and future direction. Front. Oncol. 21(11), 631–686 (2021). https://doi.org/10.3389/fonc.2021.631686.PMID:34367946;PMCID:PMC8335156
5. Huang, B., et al.: Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: a retrospective multicentre study. EBioMedicine. 73, 103631 (2021). https://doi.org/10.1016/j.ebiom.2021.103631. Epub 2021 Oct 19. PMID: 34678610; PMCID: PMC8529077
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