Artificial Intelligence-based Diagnostic Analysis for Wireless Capsule Endoscopy in Obscure Bowel Disease Detection: A Potential
Author:
Affiliation:
1. Computer Science and Engineering Department, Dr. Akhilesh Das Gupta Institute of Technology and Management, Delhi, India
2. SMS Medical, India
3. Information technology, ADGITM, NEW DELHI, GGSIPU, India
4. AI&ML, ADGITM, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3590837.3590840
Reference41 articles.
1. Artificial Intelligence in Capsule Endoscopy: A Practical Guide to its past and Future Challenges;Kim S.H;Diagnostics,2021
2. Tziortziotis I.;Laskaratos F-M ; Coda S. ”Role of Artificial Intelligence in Video Capsule Endoscopy”. Diagnostics 2021 11 1192. Doi: 10.3390/diagnostics11071192. Tziortziotis I.;Laskaratos F-M ; Coda S. ”Role of Artificial Intelligence in Video Capsule Endoscopy”. Diagnostics 2021 11 1192. Doi: 10.3390/diagnostics11071192.
3. Xiaohong Gao Barbara Braden “Artificial intelligence in endoscopy: The challenges and future directions”. Xiaohong Gao Barbara Braden “Artificial intelligence in endoscopy: The challenges and future directions”.
4. Artif Intell Gastointest Endosc 2021 August 28; 2(4);117-126. Doi: 10.37126/aige.v2.i4.117. Artif Intell Gastointest Endosc 2021 August 28; 2(4);117-126. Doi: 10.37126/aige.v2.i4.117.
5. Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?
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