Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations
Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations
复制标题
DOI：
10.1053/j.gastro.2020.02.036
复制
发表时间：
2020-06-01
期刊：
影响因子：
29.4
通讯作者：
Kim, Joo Sung
中科院分区：
文献类型：
--
作者：
Jin, Eun Hyo;Lee, Dongheon;Kim, Joo Sung
背景与目的：窄带成像（NBI）可用于确定结直肠息肉是腺瘤性还是增生性。我们研究了人工智能（AI）系统是否可以提高不同技能水平的内窥镜医生对息肉特征的准确性。方法：我们开发了卷积神经网络（CNN），用于评估小型结肠直肠息肉，基于高效的神经结构搜索，通过使用小型（
BACKGROUND & AIMS: Narrow-band imaging (NBI) can be used to determine whether colorectal polyps are adenomatous or hyperplastic. We investigated whether an artificial intelligence (AI) system can increase the accuracy of characterizations of polyps by endoscopists of different skill levels. METHODS: We developed convolutional neural networks (CNNs) for evaluation of diminutive colorectal polyps, based on efficient neural architecture searches via parameter sharing with augmentation using NBIs of diminutive (