BPG is committed to discovery and dissemination of knowledge
Articles Published Processes Featured Articles Journals Submit a Manuscript
Cited by in CrossRef
For: André B, Vercauteren T, Buchner AM, Krishna M, Ayache N, Wallace MB. Software for automated classification of probe-based confocal laser endomicroscopy videos of colorectal polyps. World J Gastroenterol 2012; 18(39): 5560-5569 [PMID: 23112548 DOI: 10.3748/wjg.v18.i39.5560]
URL: https://www.wjgnet.com/1007-9327/full/v18/i39/5560.htm
(0) (0) (6925) (70)
Number Citing Articles
1
Madalina Stan-Ilie, Vasile Sandru, Gabriel Constantinescu, Oana-Mihaela Plotogea, Ecaterina Mihaela Rinja, Iulia Florentina Tincu, Alexandra Jichitu, Adriana Elena Carasel, Andreea Cristina Butuc, Bogdan Popa. Artificial Intelligence—The Rising Star in the Field of Gastroenterology and Hepatology. Diagnostics 2023; 13(4) doi: 10.3390/diagnostics13040662
2
Athanasia Mitsala, Christos Tsalikidis, Michail Pitiakoudis, Constantinos Simopoulos, Alexandra K. Tsaroucha. Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era. Current Oncology 2021; 28(3) doi: 10.3390/curroncol28030149
3
A. J. Thompson, Guang-Zhong Yang. Implantable Sensors and Systems. 2018;  doi: 10.1007/978-3-319-69748-2_6
4
Samyakh Tukra, Niklas Lidströmer, Hutan Ashrafian, Stamatia Giannarou. Artificial Intelligence in Medicine. 2021;  doi: 10.1007/978-3-030-58080-3_323-1
5
Mazen R. Al-Mansour, Antonio Caycedo-Marulanda, Brian R. Davis, Abdulrahim Alawashez, Salvatore Docimo, Alia Qureshi, Shawn Tsuda. SAGES TAVAC safety and efficacy analysis confocal laser endomicroscopy. Surgical Endoscopy 2021; 35(5) doi: 10.1007/s00464-020-07607-3
6
Peiling Gan, Peiling Li, Huifang Xia, Xian Zhou, Xiaowei Tang. The application of artificial intelligence in improving colonoscopic adenoma detection rate: Where are we and where are we going. Gastroenterología y Hepatología 2023; 46(3) doi: 10.1016/j.gastrohep.2022.03.009
7
Shraddha Gulati, Mehul Patel, Andrew Emmanuel, Amyn Haji, Bu'Hussain Hayee, Helmut Neumann. The future of endoscopy: Advances in endoscopic image innovations. Digestive Endoscopy 2020; 32(4) doi: 10.1111/den.13481
8
Timo Rath, Nadine Morgenstern, Francesco Vitali, Raja Atreya, Markus F. Neurath. Advanced Endoscopic Imaging in Colonic Neoplasia. Visceral Medicine 2020; 36(1) doi: 10.1159/000505411
9
Ming-De Li, Ze-Rong Huang, Quan-Yuan Shan, Shu-Ling Chen, Ning Zhang, Hang-Tong Hu, Wei Wang. Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polyps. BMC Gastroenterology 2022; 22(1) doi: 10.1186/s12876-022-02605-2
10
Arif A. Arif, Shirley X. Jiang, Michael F. Byrne. Artificial intelligence in endoscopy: Overview, applications, and future directions. Saudi Journal of Gastroenterology 2023; 29(5) doi: 10.4103/sjg.sjg_286_23
11
Linda K Wanders, James E East, Sanne E Uitentuis, Mariska M G Leeflang, Evelien Dekker. Diagnostic performance of narrowed spectrum endoscopy, autofluorescence imaging, and confocal laser endomicroscopy for optical diagnosis of colonic polyps: a meta-analysis. The Lancet Oncology 2013; 14(13) doi: 10.1016/S1470-2045(13)70509-6
12
Eugene Shkolyar, Mark A. Laurie, Kathleen E. Mach, Dharati R. Trivedi, Dimitar V. Zlatev, Timothy C. Chang, Thomas J. Metzner, John T. Leppert, Chia-Sui Kao, Joseph C. Liao. Optical biopsy of penile cancer with in vivo confocal laser endomicroscopy. Urologic Oncology: Seminars and Original Investigations 2019; 37(11) doi: 10.1016/j.urolonc.2019.08.018
13
Andreas Dittberner, Erik Rodner, Wolfgang Ortmann, Joachim Stadler, Carsten Schmidt, Iver Petersen, Andreas Stallmach, Joachim Denzler, Orlando Guntinas–Lichius. Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer. Head & Neck 2016; 38(S1) doi: 10.1002/hed.24253
14
Christopher D. Atkinson, Satish K. Singh. Endoscopic Imaging Techniques and Tools. 2016;  doi: 10.1007/978-3-319-30053-5_6
15
Yutaka Okagawa, Seiichiro Abe, Masayoshi Yamada, Ichiro Oda, Yutaka Saito. Artificial Intelligence in Endoscopy. Digestive Diseases and Sciences 2022; 67(5) doi: 10.1007/s10620-021-07086-z
16
Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin, Tom Vercauteren. Image computing for fibre-bundle endomicroscopy: A review. Medical Image Analysis 2020; 62 doi: 10.1016/j.media.2019.101620
17
Peiling Gan, Peiling Li, Huifang Xia, Xian Zhou, Xiaowei Tang. The application of artificial intelligence in improving colonoscopic adenoma detection rate: Where are we and where are we going. Gastroenterología y Hepatología (English Edition) 2023; 46(3) doi: 10.1016/j.gastre.2022.03.012
18
Anna M Buchner, Michael B Wallace. In‐vivo microscopy in the diagnosis of intestinal neoplasia and inflammatory conditions. Histopathology 2015; 66(1) doi: 10.1111/his.12597
19
Amir Rafati Fard, Simon C. Williams, Kieran J. Smith, Jasneet K. Dhaliwal, Tomas Ferreira, Adrito Das, Joachim Starup-Hansen, John G. Hanrahan, Chan Hee Koh, Danyal Z. Khan, Danail Stoyanov, Hani J. Marcus. Comparing artificial intelligence and healthcare professional performance in surgical and interventional video analysis: a systematic review and meta-analysis. npj Digital Medicine 2026; 9(1) doi: 10.1038/s41746-026-02401-2
20
Pietro Mascagni, Fabio Longo, Manuel Barberio, Barbara Seeliger, Vincent Agnus, Paola Saccomandi, Alexandre Hostettler, Jacques Marescaux, Michele Diana. New intraoperative imaging technologies: Innovating the surgeon’s eye toward surgical precision. Journal of Surgical Oncology 2018; 118(2) doi: 10.1002/jso.25148
21
Eladio Rodriguez-Diaz, Lisa I. Jepeal, György Baffy, Wai-Kit Lo, Hiroshi MashimoMD, Ousama A’amar, Irving J. Bigio, Satish K. Singh. Artificial Intelligence-Based Assessment of Colorectal Polyp Histology by Elastic-Scattering Spectroscopy. Digestive Diseases and Sciences 2022; 67(2) doi: 10.1007/s10620-021-06901-x
22
Yuichi Mori, Kensaku Mori. Multidisciplinary Computational Anatomy. 2022;  doi: 10.1007/978-981-16-4325-5_45
23
Artificial Intelligence in Cancer. 2025;  doi: 10.1515/9783111670744-007
24
Yu Kamitani, Kouichi Nonaka, Hajime Isomoto. Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy. Journal of Clinical Medicine 2022; 11(10) doi: 10.3390/jcm11102923
25
Yu-Shun Liu, Ze-Hua Shi, Yan-Rui Jin, Cui-Ping Yang, Cheng-Liang Liu. Application of artificial intelligence-assisted confocal laser endomicroscopy in gastrointestinal imaging analysis. Artificial Intelligence in Medical Imaging 2025; 6(1): 106928 doi: 10.35711/aimi.v6.i1.106928
26
Daniel Bui, Kathleen E. Mach, Dimitar V. Zlatev, Robert V. Rouse, John T. Leppert, Joseph C. Liao. A Pilot Study of In Vivo Confocal Laser Endomicroscopy of Upper Tract Urothelial Carcinoma. Journal of Endourology 2015; 29(12) doi: 10.1089/end.2015.0523
27
Alan U. Sabino, Adriana V. Safatle-Ribeiro, Suzylaine S. Lima, Carlos F. S. Marques, Fauze Maluf-Filho, Alexandre F. Ramos. Machine Learning-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy . Critical Reviews™ in Oncogenesis 2024; 29(2) doi: 10.1615/CritRevOncog.2023050075
28
Stephanie P. Chen, Joseph C. Liao. Confocal Laser Endomicroscopy of Bladder and Upper Tract Urothelial Carcinoma: A New Era of Optical Diagnosis?. Current Urology Reports 2014; 15(9) doi: 10.1007/s11934-014-0437-y
29
S. Bonheur, A.K. Eldaly, J. Westerfeld, D. Wilson, K. Dhaliwal, S. McLaughlin, A. Perperidis. Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) 2019;  doi: 10.1109/ISBI.2019.8759412
30
Cristina Sánchez-Montes, Jorge Bernal, Ana García-Rodríguez, Henry Córdova, Gloria Fernández-Esparrach. Review of computational methods for the detection and classification of polyps in colonoscopy imaging. Gastroenterología y Hepatología (English Edition) 2020; 43(4) doi: 10.1016/j.gastre.2019.11.003
31
Anna M. Buchner, Prateek Sharma, Michael B. Wallace. Successful Training in Gastrointestinal Endoscopy. 2022;  doi: 10.1002/9781119529675.ch15
32
Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas Maier. Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. Scientific Reports 2017; 7(1) doi: 10.1038/s41598-017-12320-8
33
Mimi C. Tan, Sheena Bhushan, Timothy Quang, Richard Schwarz, Kalpesh H. Patel, Xinying Yu, Zhengqi Li, Guiqi Wang, Fan Zhang, Xueshan Wang, Hong Xu, Rebecca R. Richards-Kortum, Sharmila Anandasabapathy. Automated software-assisted diagnosis of esophageal squamous cell neoplasia using high-resolution microendoscopy. Gastrointestinal Endoscopy 2021; 93(4) doi: 10.1016/j.gie.2020.07.007
34
Yuichi Mori, Shin-ei Kudo, Masashi Misawa, Hayato Itoh, Masahiro Oda, Kensaku Mori. Artificial intelligence for magnifying endoscopy, endocytoscopy, and confocal laser endomicroscopy of the colorectum. Techniques and Innovations in Gastrointestinal Endoscopy 2020; 22(2) doi: 10.1016/j.tgie.2019.150632
35
Joel Joseph, Ella Marie LePage, Catherine Phillips Cheney, Rishi Pawa. Artificial intelligence in colonoscopy. World Journal of Gastroenterology 2021; 27(29): 4802-4817 doi: 10.3748/wjg.v27.i29.4802
36
Kyeong Ok Kim, Eun Young Kim. Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm. Gut and Liver 2021; 15(3) doi: 10.5009/gnl20186
37
Daniela Guerrero Vinsard, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, Amit Rastogi, Ulas Bagci, Douglas K. Rex, Michael B. Wallace. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointestinal Endoscopy 2019; 90(1) doi: 10.1016/j.gie.2019.03.019
38
Athanasia Mitsala, Christos Tsalikidis, Michael Koukourakis, Alexandra Giatromanolaki, Michail Pitiakoudis. Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach. Interdisciplinary Cancer Research 2024; 18 doi: 10.1007/16833_2024_445
39
Samyakh Tukra, Niklas Lidströmer, Hutan Ashrafian, Stamatia Gianarrou. Artificial Intelligence in Medicine. 2022;  doi: 10.1007/978-3-030-64573-1_323
40
Cristina Sánchez-Montes, Jorge Bernal, Ana García-Rodríguez, Henry Córdova, Gloria Fernández-Esparrach. Revisión de métodos computacionales de detección y clasificación de pólipos en imagen de colonoscopia. Gastroenterología y Hepatología 2020; 43(4) doi: 10.1016/j.gastrohep.2019.11.004
41
Thomas K.L. Lui, Chuan-Guo Guo, Wai K. Leung. Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis. Gastrointestinal Endoscopy 2020; 92(1) doi: 10.1016/j.gie.2020.02.033
42
Shin‐ei Kudo, Yuichi Mori, Masashi Misawa, Kenichi Takeda, Toyoki Kudo, Hayato Itoh, Masahiro Oda, Kensaku Mori. Artificial intelligence and colonoscopy: Current status and future perspectives. Digestive Endoscopy 2019; 31(4) doi: 10.1111/den.13340
43
Friedrich Foerster, Helmut Neumann. Innovative Endoscopic and Surgical Technology in the GI Tract. 2021;  doi: 10.1007/978-3-030-78217-7_35
44
Muhammad Awidi, Arindam Bagga. Artificial intelligence and machine learning in colorectal cancer. Artificial Intelligence in Gastrointestinal Endoscopy 2022; 3(3): 31-43 doi: 10.37126/aige.v3.i3.31
45
Veronika Volgger, Susanne Girschick, Stephan Ihrler, Anna Sophie Englhard, Herbert Stepp, Christian Stephan Betz. Evaluation of confocal laser endomicroscopy as an aid to differentiate primary flat lesions of the larynx: A prospective clinical study. Head & Neck 2016; 38(S1) doi: 10.1002/hed.24303
46
Umid K Shrestha. Emerging role of artificial intelligence in gastroenterology and hepatology. World Journal of Gastroenterology 2025; 31(39): 111495 doi: 10.3748/wjg.v31.i39.111495
47
Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Aman Ali, Khizar Aman Ali, Neil Sharma, Shreyas Saligram, Benjamin Tharian, Sumant Inamdar. Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer. Journal of Clinical Medicine 2020; 9(10) doi: 10.3390/jcm9103313
48
Pushpak Taunk, Christopher D. Atkinson, David Lichtenstein, Eladio Rodriguez-Diaz, Satish K. Singh. Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopy. International Journal of Colorectal Disease 2019; 34(12) doi: 10.1007/s00384-019-03406-y
49
Yachun Li, Patra Charalampaki, Yong Liu, Guang-Zhong Yang, Stamatia Giannarou. Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic data. International Journal of Computer Assisted Radiology and Surgery 2018; 13(8) doi: 10.1007/s11548-018-1806-7
50
Shraddha Gulati, Andrew Emmanuel, Mehul Patel, Sophie Williams, Amyn Haji, Bu’Hussain Hayee, Helmut Neumann. Artificial intelligence in luminal endoscopy. Therapeutic Advances in Gastrointestinal Endoscopy 2020; 13 doi: 10.1177/2631774520935220
51
Hideka Horiuchi, Naoto Tamai, Shunsuke Kamba, Hiroko Inomata, Tomohiko R. Ohya, Kazuki Sumiyama. Real-time computer-aided diagnosis of diminutive rectosigmoid polyps using an auto-fluorescence imaging system and novel color intensity analysis software. Scandinavian Journal of Gastroenterology 2019; 54(6) doi: 10.1080/00365521.2019.1627407
52
Huahui Zhang, Zhongyu He, Ziyi Jin, Qinglai Yan, Peng Wang, Xuesong Ye. The development and clinical application of microscopic endoscopy for in vivo optical biopsies: Endocytoscopy and confocal laser endomicroscopy. Photodiagnosis and Photodynamic Therapy 2022; 38 doi: 10.1016/j.pdpdt.2022.102826
53
Yuichi Mori, Shin-ei Kudo. Endoscopic Management of Colorectal T1(SM) Carcinoma. 2020;  doi: 10.1007/978-981-13-6649-9_6
54
Daljeet Chahal, Neal Shahidi, Michael F. Byrne. Digital Surgery. 2021;  doi: 10.1007/978-3-030-49100-0_24
55
Weijun Wang, Shuxin Tian, Xin Jiang, Suya Pang, Huiying Shi, Mengke Fan, Zeyu Wang, Weiwei Jiang, Weiqian Hu, Xueyan Xiao, Rong Lin. Molecular Imaging of Ulex Europaeus Agglutinin in Colorectal Cancer Using Confocal Laser Endomicroscopy (With Video). Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.792420
56
Yecheskel Schneider, Anna M. Buchner. Computer-aided confocal laser endomicroscopy in inflammatory bowel disease: probing deeper into what it means. Gastrointestinal Endoscopy 2019; 89(3) doi: 10.1016/j.gie.2018.11.005
57
Octav Ginghina, Ariana Hudita, Marius Zamfir, Andrada Spanu, Mara Mardare, Irina Bondoc, Laura Buburuzan, Sergiu Emil Georgescu, Marieta Costache, Carolina Negrei, Cornelia Nitipir, Bianca Galateanu. Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s Stratification. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.856575
58
Tou Pin Chang, Guang-Zhong Yang. Cancer Theranostics. 2014;  doi: 10.1016/B978-0-12-407722-5.00013-X
59
Debora Gil, Oriol Ramos-Terrades, Elisa Minchole, Carles Sanchez, Noelia Cubero de Frutos, Marta Diez-Ferrer, Rosa Maria Ortiz, Antoni Rosell. Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures. Lecture Notes in Computer Science 2017; 10550 doi: 10.1007/978-3-319-67543-5_15
60
Yubo Tang, Alexandros D. Polydorides, Sharmila Anandasabapathy, Rebecca R. Richards-Kortum. Quantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polyps. Journal of Biomedical Optics 2018; 23(11) doi: 10.1117/1.JBO.23.11.116003
61
Yuichi Mori, Shin-ei Kudo, Masashi Misawa, Kenichi Takeda, Toyoki Kudo, Hayato Itoh, Masahiro Oda, Kensaku Mori. Artificial Intelligence for Colorectal Polyp Detection and Characterization. Current Treatment Options in Gastroenterology 2020; 18(2) doi: 10.1007/s11938-020-00287-x
62
Hangbin Zhang, Xinyu Yang, Ye Tao, Xinyi Zhang, Xuan Huang, Chih-Wei Tseng. Diagnostic accuracy of endocytoscopy via artificial intelligence in colorectal lesions: A systematic review and meta‑analysis. PLOS ONE 2023; 18(12) doi: 10.1371/journal.pone.0294930
63
. 2019;  doi: 10.70675/4e77927fzf930z4451z9deazf89581812487
64
Hyun Jae Kim, Nasim Parsa, Michael F. Byrne. The role of artificial intelligence in colonoscopy. Seminars in Colon and Rectal Surgery 2024; 35(1) doi: 10.1016/j.scrs.2024.101007
65
Rahul Pannala, Kumar Krishnan, Joshua Melson, Mansour A. Parsi, Allison R. Schulman, Shelby Sullivan, Guru Trikudanathan, Arvind J. Trindade, Rabindra R. Watson, John T. Maple, David R. Lichtenstein. Artificial intelligence in gastrointestinal endoscopy. VideoGIE 2020; 5(12) doi: 10.1016/j.vgie.2020.08.013
66
Arian Mansur, Zain Saleem, Tarig Elhakim, Dania Daye. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1065402
67
Sreekar Vennelaganti, Prashanth Vennalaganti, Sharad Mathur, Satish Singh, Mazen Jamal, Vijay Kanakadandi, Tarun Rai, Matthew Hall, Neil Gupta, Venkat Nutalapati, Benjamin Alsop, Benjamin Hornung, Prateek Sharma. Validation of Probe-based Confocal Laser Endomicroscopy (pCLE) Criteria for Diagnosing Colon Polyp Histology. Journal of Clinical Gastroenterology 2018; 52(9) doi: 10.1097/MCG.0000000000000927
68
Barham K. Abu Dayyeh, Nirav Thosani, Vani Konda, Michael B. Wallace, Douglas K. Rex, Shailendra S. Chauhan, Joo Ha Hwang, Sri Komanduri, Michael Manfredi, John T. Maple, Faris M. Murad, Uzma D. Siddiqui, Subhas Banerjee. ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps. Gastrointestinal Endoscopy 2015; 81(3) doi: 10.1016/j.gie.2014.12.022
69
Alessandro Fugazza, Federica Gaiani, Maria Clotilde Carra, Francesco Brunetti, Michaël Lévy, Iradj Sobhani, Daniel Azoulay, Fausto Catena, Gian Luigi de’Angelis, Nicola de’Angelis. Confocal Laser Endomicroscopy in Gastrointestinal and Pancreatobiliary Diseases: A Systematic Review and Meta-Analysis. BioMed Research International 2016; 2016 doi: 10.1155/2016/4638683
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.