Evaluation of the use of convoluted neural network for detecting early gastric cancer and predicting its invasion depth: A systematic review and meta-analysis.
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| Title: | Evaluation of the use of convoluted neural network for detecting early gastric cancer and predicting its invasion depth: A systematic review and meta-analysis. |
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| Authors: | Agarwal S; Department of Gastroenterology, All India Institute of medical Sciences, New Delhi, India., Rajput MS; Department of Gastroenterology, All India Institute of medical Sciences, New Delhi, India., Pandey S; Department of Biostatistics, All India Institute of medical Sciences, New Delhi, India., Ramai D; Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital, Boston, MA, USA., Tabibian JH; Division of Gastroenterology, University of California Los Angeles - Olive View, Sylmar, CA, USA., Ofosu A; Division of Gastroenterology, University of Cincinnati, OH, USA., Barakat MT; Division of Gastroenterology, Stanford University, Palo Alto, CA, USA., Girotra M; Division of Gastroenterology, Swedish Medical Center, Seattle, WA, USA., Mahapatra SJ; Department of Gastroenterology, All India Institute of medical Sciences, New Delhi, India. Electronic address: soumyajagannath@yahoo.com. |
| Source: | Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver [Dig Liver Dis] 2025 Oct; Vol. 57 (10), pp. 1901-1907. Date of Electronic Publication: 2025 Aug 06. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 100958385 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-3562 (Electronic) Linking ISSN: 15908658 NLM ISO Abbreviation: Dig Liver Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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