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For:	Ho C, Zhao Z, Chen XF, Sauer J, Saraf SA, Jialdasani R, Taghipour K, Sathe A, Khor LY, Lim KH, Leow WQ. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer. Sci Rep 2022;12:2222. [PMID: 35140318 DOI: 10.1038/s41598-022-06264-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]

For:

Ho C, Zhao Z, Chen XF, Sauer J, Saraf SA, Jialdasani R, Taghipour K, Sathe A, Khor LY, Lim KH, Leow WQ. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer. Sci Rep 2022;12:2222. [PMID: 35140318 DOI: 10.1038/s41598-022-06264-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]

Number	Citing Articles
1	Neto PC, Oliveira SP, Montezuma D, Fraga J, Monteiro A, Ribeiro L, Gonçalves S, Pinto IM, Cardoso JS. iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images. Cancers (Basel) 2022;14:2489. [PMID: 35626093 DOI: 10.3390/cancers14102489] [Reference Citation Analysis]
2	Liu Y, Jin S, Shen Q, Chang L, Fang S, Fan Y, Peng H, Yu W. A Deep Learning System to Predict the Histopathological Results From Urine Cytopathological Images. Front Oncol 2022;12:901586. [PMID: 35686096 DOI: 10.3389/fonc.2022.901586] [Reference Citation Analysis]