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For: Song M, Lin J, Song F, Wu D, Qian Z. The value of MR-based radiomics in identifying residual disease in patients with carcinoma in situ after cervical conization. Sci Rep 2020;10:19890. [PMID: 33199785 PMCID: PMC7670468 DOI: 10.1038/s41598-020-76853-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 10/28/2020] [Indexed: 01/08/2023]  Open
Number Cited by Other Article(s)
1
Shanmugam A, KVN K, Radhabai PR, Natarajan S, Imoize AL, Ojo S, Nathaniel TI. HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images. Front Oncol 2024;14:1264611. [PMID: 38751808 PMCID: PMC11094217 DOI: 10.3389/fonc.2024.1264611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 04/11/2024] [Indexed: 05/18/2024]  Open
2
Shrestha P, Poudyal B, Yadollahi S, E. Wright D, V. Gregory A, D. Warner J, Korfiatis P, C. Green I, L. Rassier S, Mariani A, Kim B, K. Laughlin-Tommaso S, L. Kline T. A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions. Gynecol Oncol 2022;166:596-605. [PMID: 35914978 DOI: 10.1016/j.ygyno.2022.07.024] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/15/2022] [Accepted: 07/19/2022] [Indexed: 11/04/2022]
3
Arimura H, Kodama T, Urakami A, Kamezawa H, Hirose TA, Ninomiya K. [6. Imaging Biopsy for Assisting Cancer Precision Therapy -Information Extracted from Radiomics]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2022;78:219-224. [PMID: 35185102 DOI: 10.6009/jjrt.780213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
4
Kim KE, Kim CK. Magnetic resonance imaging-based texture analysis for the prediction of postoperative clinical outcome in uterine cervical cancer. Abdom Radiol (NY) 2022;47:352-361. [PMID: 34605967 DOI: 10.1007/s00261-021-03288-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 09/19/2021] [Accepted: 09/20/2021] [Indexed: 11/28/2022]
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