A convolutional neural network for bleeding detection in capsule endoscopy using real clinical data.

Dorothee Turck,Thomas Dratsch, Lorenz Schröder,Florian Lorenz, Johanna Dinter,Martin Bürger,Lars Schiffmann,Philipp Kasper,Gabriel Allo,Tobias Goeser,Seung-Hun Chon,Dirk Nierhoff

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy（2023）

引用 0|浏览10

暂无评分

摘要

Our results show that neural networks can detect bleedings in capsule endoscopy videos under realistic, clinical conditions with an accuracy of 90.6%, potentially reducing reading time per capsule and helping to improve diagnostic accuracy.

查看译文

关键词

capsule endoscopy,convolutional neural network,neural network

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要