For: | Viscaino M, Torres Bustos J, Muñoz P, Auat Cheein C, Cheein FA. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World J Gastroenterol 2021; 27(38): 6399-6414 [PMID: 34720530 DOI: 10.3748/wjg.v27.i38.6399] |
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URL: | https://www.wjgnet.com/2644-3236/full/v27/i38/6399.htm |
Number | Citing Articles |
1 |
Chen-Ming Hsu, Chien-Chang Hsu, Zhe-Ming Hsu, Tsung-Hsing Chen, Tony Kuo. Intraprocedure Artificial Intelligence Alert System for Colonoscopy Examination. Sensors 2023; 23(3): 1211 doi: 10.3390/s23031211
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2 |
Siddhartha Kapuria, Tarunraj G. Mohanraj, Nethra Venkatayogi, Ozdemir Can Kara, Yuki Hirata, Patrick Minot, Ariel Kapusta, Naruhiko Ikoma, Farshid Alambeigi. Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks. 2023 International Symposium on Medical Robotics (ISMR) 2023; : 1 doi: 10.1109/ISMR57123.2023.10130197
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3 |
Pankaj Kumar Tripathi, Chakresh Kumar Jain. Advancements in Bio-Medical Image Processing and Authentication in Telemedicine. Advances in Medical Technologies and Clinical Practice 2023; : 54 doi: 10.4018/978-1-6684-6957-6.ch004
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4 |
Erica Quagliarini, Luca Digiacomo, Damiano Caputo, Alessandro Coppola, Heinz Amenitsch, Giulio Caracciolo, Daniela Pozzi. Magnetic Levitation of Personalized Nanoparticle–Protein Corona as an Effective Tool for Cancer Detection. Nanomaterials 2022; 12(9): 1397 doi: 10.3390/nano12091397
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5 |
Alba Nogueira-Rodríguez, Miguel Reboiro-Jato, Daniel Glez-Peña, Hugo López-Fernández. Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets. Diagnostics 2022; 12(4): 898 doi: 10.3390/diagnostics12040898
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6 |
Arcangelo Picciariello, Agnese Dezi, Leonardo Vincenti, Marcello Giuseppe Spampinato, Wenzhe Zang, Pamela Riahi, Jared Scott, Ruchi Sharma, Xudong Fan, Donato F. Altomare. Colorectal Cancer Diagnosis through Breath Test Using a Portable Breath Analyzer—Preliminary Data. Sensors 2024; 24(7): 2343 doi: 10.3390/s24072343
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7 |
Adriel Abraham, Rejath Jose, Jawad Ahmad, Jai Joshi, Thomas Jacob, Aziz-ur-rahman Khalid, Hassam Ali, Pratik Patel, Jaspreet Singh, Milan Toma. Comparative Analysis of Machine Learning Models for Image Detection of Colonic Polyps vs. Resected Polyps. Journal of Imaging 2023; 9(10): 215 doi: 10.3390/jimaging9100215
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8 |
Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect. Frontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
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9 |
Serlie Hartoonian, Matine Hosseini, Iman Yousefi, Mina Mahdian, Mitra Ghazizadeh Ahsaie. Applications of artificial intelligence in dentomaxillofacial imaging–a systematic review. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2024; doi: 10.1016/j.oooo.2023.12.790
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10 |
Nethra Venkatayogi, Qin Hu, Ozdemir Can Kara, Tarunraj G. Mohanraj, S. Farokh Atashzar, Farshid Alambeigi. On the Potentials of Surface Tactile Imaging and Dilated Residual Networks for Early Detection of Colorectal Cancer Polyps. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023; : 4655 doi: 10.1109/IROS55552.2023.10342161
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11 |
Yangzi Ren, Shangwen He, Siyang Feng, Wei Yang. A Prognostic Model for Colon Adenocarcinoma Patients Based on Ten Amino Acid Metabolism Related Genes. Frontiers in Public Health 2022; 10 doi: 10.3389/fpubh.2022.916364
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12 |
Alba Nogueira-Rodríguez, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández. Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp Detection. Diagnostics 2023; 13(5): 966 doi: 10.3390/diagnostics13050966
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13 |
Jothiraj Selvaraj, A. K. Jayanthy. Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy images. International Journal of Imaging Systems and Technology 2024; 34(2) doi: 10.1002/ima.23034
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14 |
Nethra Venkatayogi, Ozdemir Can Kara, Jeff Bonyun, Naruhiko Ikoma, Farshid Alambeigi. Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing. 2022 IEEE Sensors 2022; : 1 doi: 10.1109/SENSORS52175.2022.9967308
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15 |
Marco Spadaccini, Joel Troya, Kareem Khalaf, Antonio Facciorusso, Roberta Maselli, Alexander Hann, Alessandro Repici. Artificial Intelligence-assisted colonoscopy and colorectal cancer screening: Where are we going?. Digestive and Liver Disease 2024; doi: 10.1016/j.dld.2024.01.203
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