A deep semantic segmentation correction network for multi-model tiny lesion areas detection.

Yue LiuXiang LiTianyang LiBin LiZhensong WangJie GanBenzheng Wei

Published in: BMC medical informatics and decision making (2021)

Overall, we developed a complete method for segmentation and detection of WMHs related to FCI and LACI. The experimental results show that it has potential clinical application potential. In the future, we will collect more clinical data and test more types of tiny lesions at the same time.

Keyphrases

deep learning
convolutional neural network
loop mediated isothermal amplification
label free
real time pcr
human health
electronic health record
risk assessment
data analysis