Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211274087> ?p ?o ?g. }
- W3211274087 endingPage "2222" @default.
- W3211274087 startingPage "2207" @default.
- W3211274087 abstract "With the advent of the big data era, the application of artificial intelligence represented by deep learning in medicine has become a hot topic. In gastroenterology, deep learning has accomplished remarkable accomplishments in endoscopy, imageology, and pathology. Artificial intelligence has been applied to benign gastrointestinal tract lesions, early cancer, tumors, inflammatory bowel diseases, livers, pancreas, and other diseases. Computer-aided diagnosis significantly improve diagnostic accuracy and reduce physicians' workload and provide a shred of evidence for clinical diagnosis and treatment. In the near future, artificial intelligence will have high application value in the field of medicine. This paper mainly summarizes the latest research on artificial intelligence in diagnosing and treating digestive system diseases and discussing artificial intelligence's future in digestive system diseases. We sincerely hope that our work can become a stepping stone for gastroenterologists and computer experts in artificial intelligence research and facilitate the application and development of computer-aided image processing technology in gastroenterology." @default.
- W3211274087 created "2021-11-08" @default.
- W3211274087 creator A5040788596 @default.
- W3211274087 creator A5057253579 @default.
- W3211274087 creator A5082974753 @default.
- W3211274087 date "2021-10-31" @default.
- W3211274087 modified "2023-09-30" @default.
- W3211274087 title "A systematic review on application of deep learning in digestive system image processing" @default.
- W3211274087 cites W1991334358 @default.
- W3211274087 cites W2048048881 @default.
- W3211274087 cites W2095520368 @default.
- W3211274087 cites W2100325289 @default.
- W3211274087 cites W2116817916 @default.
- W3211274087 cites W2143967388 @default.
- W3211274087 cites W2146395488 @default.
- W3211274087 cites W2167941842 @default.
- W3211274087 cites W2346062110 @default.
- W3211274087 cites W2346786208 @default.
- W3211274087 cites W2462708804 @default.
- W3211274087 cites W2585890928 @default.
- W3211274087 cites W2592929672 @default.
- W3211274087 cites W2754128144 @default.
- W3211274087 cites W2789588857 @default.
- W3211274087 cites W2791307013 @default.
- W3211274087 cites W2798538010 @default.
- W3211274087 cites W2803469628 @default.
- W3211274087 cites W2809744901 @default.
- W3211274087 cites W2889646458 @default.
- W3211274087 cites W2890139949 @default.
- W3211274087 cites W2901218091 @default.
- W3211274087 cites W2901946084 @default.
- W3211274087 cites W2907214745 @default.
- W3211274087 cites W2909244736 @default.
- W3211274087 cites W2935703330 @default.
- W3211274087 cites W2936500884 @default.
- W3211274087 cites W2948475969 @default.
- W3211274087 cites W2951195084 @default.
- W3211274087 cites W2954218616 @default.
- W3211274087 cites W2963882942 @default.
- W3211274087 cites W2968135754 @default.
- W3211274087 cites W2971045153 @default.
- W3211274087 cites W2977942577 @default.
- W3211274087 cites W2978294504 @default.
- W3211274087 cites W2987087879 @default.
- W3211274087 cites W2987543910 @default.
- W3211274087 cites W3000495410 @default.
- W3211274087 cites W3006005668 @default.
- W3211274087 cites W3007100994 @default.
- W3211274087 cites W3007124747 @default.
- W3211274087 cites W3012680295 @default.
- W3211274087 cites W3016622556 @default.
- W3211274087 cites W3016965756 @default.
- W3211274087 cites W3025094475 @default.
- W3211274087 cites W3027491251 @default.
- W3211274087 cites W3027658921 @default.
- W3211274087 cites W3030432638 @default.
- W3211274087 cites W3034071908 @default.
- W3211274087 cites W3038631832 @default.
- W3211274087 cites W3046049595 @default.
- W3211274087 cites W3047439539 @default.
- W3211274087 cites W3083232044 @default.
- W3211274087 cites W3087017911 @default.
- W3211274087 cites W3089090082 @default.
- W3211274087 cites W3090403621 @default.
- W3211274087 cites W3090504894 @default.
- W3211274087 cites W3092184697 @default.
- W3211274087 cites W3095116298 @default.
- W3211274087 cites W3096042986 @default.
- W3211274087 cites W3096584363 @default.
- W3211274087 cites W3096996132 @default.
- W3211274087 cites W3099097979 @default.
- W3211274087 cites W3101019686 @default.
- W3211274087 cites W3102912921 @default.
- W3211274087 cites W3103706824 @default.
- W3211274087 cites W3105771333 @default.
- W3211274087 cites W3109647545 @default.
- W3211274087 cites W3112557529 @default.
- W3211274087 cites W3113245664 @default.
- W3211274087 cites W3118199940 @default.
- W3211274087 cites W3119608944 @default.
- W3211274087 cites W3119742431 @default.
- W3211274087 cites W3121039441 @default.
- W3211274087 cites W3122923767 @default.
- W3211274087 cites W3123414476 @default.
- W3211274087 cites W3123758454 @default.
- W3211274087 cites W3124963373 @default.
- W3211274087 cites W3125908376 @default.
- W3211274087 cites W3127363128 @default.
- W3211274087 cites W3127501898 @default.
- W3211274087 cites W3128161927 @default.
- W3211274087 cites W3129663921 @default.
- W3211274087 cites W3130681742 @default.
- W3211274087 cites W3131008709 @default.
- W3211274087 cites W3131457563 @default.
- W3211274087 cites W3132400453 @default.
- W3211274087 cites W3133722583 @default.
- W3211274087 cites W3133814806 @default.
- W3211274087 cites W3133858468 @default.