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For: Phan NN, Hsu CY, Huang CC, Tseng LM, Chuang EY. Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling. Front Oncol 2021;11:734015. [PMID: 34745954 PMCID: PMC8567097 DOI: 10.3389/fonc.2021.734015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/29/2021] [Indexed: 12/12/2022]  Open
Number Cited by Other Article(s)
1
Silveira JA, da Silva AR, de Lima MZT. Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data. Discov Oncol 2025;16:135. [PMID: 39921795 PMCID: PMC11807043 DOI: 10.1007/s12672-025-01908-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Accepted: 02/03/2025] [Indexed: 02/10/2025]  Open
2
McCaffrey C, Jahangir C, Murphy C, Burke C, Gallagher WM, Rahman A. Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer. Expert Rev Mol Diagn 2024;24:363-377. [PMID: 38655907 DOI: 10.1080/14737159.2024.2346545] [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: 12/07/2023] [Accepted: 04/19/2024] [Indexed: 04/26/2024]
3
Pan B, Xu Y, Yao R, Cao X, Zhou X, Hao Z, Zhang Y, Wang C, Shen S, Luo Y, Zhu Q, Ren X, Kong L, Zhou Y, Sun Q. Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients. J Transl Med 2023;21:798. [PMID: 37946210 PMCID: PMC10637017 DOI: 10.1186/s12967-023-04523-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 09/13/2023] [Indexed: 11/12/2023]  Open
4
Koo JC, Ke Q, Hum YC, Goh CH, Lai KW, Yap WS, Tee YK. Non-annotated renal histopathological image analysis with deep ensemble learning. Quant Imaging Med Surg 2023;13:5902-5920. [PMID: 37711826 PMCID: PMC10498232 DOI: 10.21037/qims-23-46] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 07/03/2023] [Indexed: 09/16/2023]
5
HAJI HEL, SOUADKA A, PATEL BN, SBIHI N, RAMASAMY G, PATEL BK, GHOGHO M, BANERJEE I. Evolution of Breast Cancer Recurrence Risk Prediction: A Systematic Review of Statistical and Machine Learning-Based Models. JCO Clin Cancer Inform 2023;7:e2300049. [PMID: 37566789 PMCID: PMC11771520 DOI: 10.1200/cci.23.00049] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/11/2023] [Accepted: 06/14/2023] [Indexed: 08/13/2023]  Open
6
Wu M, Zhu C, Yang J, Cheng S, Yang X, Gu S, Xu S, Wu Y, Shen W, Huang S, Wang Y. Exploring prognostic indicators in the pathological images of ovarian cancer based on a deep survival network. Front Genet 2023;13:1069673. [PMID: 36685892 PMCID: PMC9846244 DOI: 10.3389/fgene.2022.1069673] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/12/2022] [Indexed: 01/05/2023]  Open
7
Dolezal JM, Srisuwananukorn A, Karpeyev D, Ramesh S, Kochanny S, Cody B, Mansfield AS, Rakshit S, Bansal R, Bois MC, Bungum AO, Schulte JJ, Vokes EE, Garassino MC, Husain AN, Pearson AT. Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nat Commun 2022;13:6572. [PMID: 36323656 PMCID: PMC9630455 DOI: 10.1038/s41467-022-34025-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]  Open
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