| For: | Young EJ, Rajandran A, Philpott HL, Sathananthan D, Hoile SF, Singh R. Mucosal imaging in colon polyps: New advances and what the future may hold. World J Gastroenterol 2022; 28(47): 6632-6661 [PMID: 36620337 DOI: 10.3748/wjg.v28.i47.6632] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v28/i47/6632.htm |
| Number | Citing Articles |
| 1 |
Olzhas Urazayev, Asset Yelemesov. Latest Advances in Biomedical Imaging for Colorectal Cancer. West Kazakhstan Biomedicine Journal 2025; 6(4) doi: 10.4103/wkbj.wkbj_4_26
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| 2 |
Mn Prashanth, S SenthilKumar. Colorectal Cancer Epidemiology, Screening and Segmentation using CNNs. 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) 2023; doi: 10.1109/ICCAMS60113.2023.10526159
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| 3 |
Edward Young, Louisa Edwards, Rajvinder Singh. The Role of Artificial Intelligence in Colorectal Cancer Screening: Lesion Detection and Lesion Characterization. Cancers 2023; 15(21) doi: 10.3390/cancers15215126
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| 4 |
Mayank V. Golhar, Taylor L. Bobrow, Saowanee Ngamruengphong, Nicholas J. Durr. GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification. IEEE Journal of Biomedical and Health Informatics 2025; 29(6) doi: 10.1109/JBHI.2024.3397611
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| 5 |
Niall P. Hardy, Pol MacAonghusa, Jeffrey Dalli, Jonathan P. Epperlein, Paul Huxel, Mohammad F Khan, Alice Moynihan, Sergiy Zhuk, Johanna J. Joosten, David Nijssen, Alberto Arezzo, Juriaan Tuynman, Peter M. Neary, Roel Hompes, Ronan A. Cahill. Explainable endoscopic artificial intelligence method for real-time in situ significant rectal lesion characterization: a prospective cohort study. International Journal of Surgery 2025; 111(2) doi: 10.1097/JS9.0000000000002244
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