IEEE

A Multimodal Cross-Domain Segmentation Network of Remote Sensing Imagery With Multilevel Deep Cross-Fusion and Adversarial Domain Adaptation

Abstract: Deep learning techniques have recently achieved significant success in semantic segmentation for Earth observation tasks using single-modality data in a specific region. However, such ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
IEEE

GRLDASeg: Unsupervised Domain Adaptive Semantic Segmentation of High Spatial Resolution Remote Sensing Imagery Based on General Representation Learning

Abstract: Unsupervised domain adaptation semantic segmentation for high spatial resolution remote sensing imagery aims to utilize a large amount of labeled data from the source domain to train a ...
C&EN

Rapid Detection of Perfluorooctanesulfonic Acid Using Surface-Enhanced Raman Spectroscopy and Deep Learning

Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States Institute for Quantitative Health Science and Engineering, Michigan State ...