For: | Caires Silveira E, Santos Corrêa CF, Madureira Silva L, Almeida Santos B, Mattos Pretti S, Freire de Melo F. Recognition of esophagitis in endoscopic images using transfer learning. World J Gastrointest Endosc 2022; 14(5): 311-319 [PMID: 35719896 DOI: 10.4253/wjge.v14.i5.311] |
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URL: | https://www.wjgnet.com/1948-5190/full/v14/i5/311.htm |
Number | Citing Articles |
1 |
Jovita Relasha Lewis, Sameena Pathan, Preetham Kumar, Cifha Crecil Dias. AI in Endoscopic Gastrointestinal Diagnosis: A Systematic Review of Deep Learning and Machine Learning Techniques. IEEE Access 2024; 12: 163764 doi: 10.1109/ACCESS.2024.3483432
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2 |
Sakshi V. Izankar, Chetan Puri, Rushikesh Burle. AI -Driven Detection of Gastrointestinal Disease based on Advanced Deep Learning Techniques. 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL) 2025; : 1644 doi: 10.1109/ICSADL65848.2025.10933333
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3 |
Rudrani Maity, V M Raja Sankari, Snekhalatha U, Rajesh N A, Anela L Salvador. Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques. Biomedical Physics & Engineering Express 2024; 10(4): 045058 doi: 10.1088/2057-1976/ad5a14
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4 |
K. Kavitha, S. Rajkumar, S. Gandhimathi (Usha). The Role of Artificial Intelligence in Advancing Applied Life Sciences. Advances in Computational Intelligence and Robotics 2025; : 307 doi: 10.4018/979-8-3693-9208-9.ch011
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