Efficient anomaly detection from medical signals and images
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-019-09610-z
Abstract: Anomaly detection is a very vital area in medical signal and image processing due to its importance in automatic diagnosis. This paper presents three efficient anomaly detection approaches for applications related to Electroencephalogram (EEG) signal… read more here.
Keywords: signals images; medical signals; anomaly detection; detection medical ... See more keywords
Ultrasound Cavitation/Microbubble Detection and Medical Applications
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-018-0391-0
Abstract: Over the past decades, different techniques have been investigated for detecting microbubbles. The purpose of this work is to review the state-of-the-art of medical microbubble detection along with therapeutic, monitoring, and diagnostic applications. The presence… read more here.
Keywords: cavitation microbubble; microbubble detection; ultrasound cavitation; detection medical ... See more keywords
Privacy-Preserving Object Detection for Medical Images with Faster R-CNN
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2019.2946476
Abstract: In this paper, we propose a lightweight privacy-preserving Faster R-CNN framework (SecRCNN) for object detection in medical images. Faster R-CNN is one of the most outstanding deep learning models for object detection. Using SecRCNN, healthcare… read more here.
Keywords: object detection; faster cnn; detection medical; privacy preserving ... See more keywords