Impact of User’s Background Knowledge and Polyp Characteristics in Colonoscopy with Computer-Aided Detection

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

Pu Wang, Tyler M. Berzin, Jeremy R. Glissen Brown et al. · Gut · 2019 · 785 citations · Full text

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial

Alessandro Repici, Matteo Badalamenti, Roberta Maselli et al. · Gastroenterology · 2020 · 569 citations

Medical Imaging, Cancer Detection, Medicine +15

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

Pu Wang, Xiaogang Liu, Tyler M. Berzin et al. · ˜The œLancet. Gastroenterology & hepatology · 2020 · 392 citations

Convolutional Neural Network, Image Analysis, Machine Learning +12

Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study

Dexin Gong, Lianlian Wu, Jun Zhang et al. · ˜The œLancet. Gastroenterology & hepatology · 2020 · 360 citations

Image Analysis, Engineering, Medical Imaging +14

Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study

Pu Wang, Peixi Liu, Jeremy R. Glissen Brown et al. · Gastroenterology · 2020 · 208 citations · Full text

Routine White-light Colonoscopy, Medical Imaging, Cancer Detection +13