接收机工作特性
灵敏度(控制系统)
胶囊
推论
胰腺癌
人工智能
胰腺
计算机科学
过程(计算)
帧(网络)
癌症
模式识别(心理学)
医学
内科学
生物
机器学习
工程类
电信
电子工程
操作系统
植物
作者
Wei‐Chih Liao,Ting-Hui Wu,Kao‐Lang Liu,Po‐Ting Chen,Hui-Hsuan Yen,H Roth,Weichung Wang
标识
DOI:10.1016/s0016-5085(19)36932-x
摘要
Receiver Operating Characteristic (ROC) Curve for abnormals is shown in Figure 1.The CNN can each process 60 frames per second on inference and our system can process a typical 8-12 hour capsule study in 10-15 minutes.Focusing on just abnormalities, the readtimes of the 14 new capsule videos could be reduced by 66.81% Conclusions: Our CNNs have a high sensitivity and specificity for detecting anatomic location and abnormalities, and operate at a high speed.This new technology has the potential to significantly reduce reading times and improve read accuracy.Further studies are needed to evaluate its applicability with different capsule manufacturers.
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