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Classification of apoptosis using advanced clustering techniques on digital microscopic images
(2010)
Programmed cell death, also known as apoptosis is of fundamental importance in many biological processes and also highly associated with serious diseases like cancer and HIV. The current paper presents an innovative method ...
Statistical data mining of streaming motion data for fall detection in assistive environments
(2011)
The analysis of human motion data is interesting for the purpose of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several ...
Emergency Fall Incidents Detection in Assisted Living Environments Utilizing Motion, Sound, and Visual Perceptual Components
(2011)
This paper presents the implementation details of a patient status awareness enabling human activity interpretation and emergency detection in cases, where the personal health is threatened like elder falls or patient ...
Fall detection using commodity smart watch and smart phone
(2014)
Human motion data captured from wearable devices such as smart watches can be utilized for activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in ...
Advanced cancer cell characterization and quantification of microscopy images
(2012)
In this paper we present an advanced image analysis tool for the accurate characterization and quantification of cancer and apoptotic cells in microscopy images. Adaptive thresholding and Support Vector Machines classifiers ...
Cancer cells detection and pathology quantification utilizing image analysis techniques
(2012)
This paper presents an advanced image analysis tool for the accurate and fast characterization and quantification of cancer and apoptotic cells in microscopy images utilizing adaptive thresholding and a Support Vector ...
An intelligent tool for anatomical object segmentation using deformable surfaces
(2012)
Image segmentation is a very active area of research in machine vision. In this work, an innovative methodology is presented that allows the segmentation of objects in three-dimensional images with initial user intervention. ...
A novel tool for segmenting 3D medical images based on generalized cylinders and active surfaces
(2013)
Three-dimensional (3D) medical imaging has been incorporated in routine clinical practice, since the required infrastructure has become increasingly affordable. New algorithms and applications are needed to serve the ...
Pose recognition in indoor environments using a fisheye camera and a parametric human model
(2014)
In this paper we present a system that uses computer vision techniques and a deformable 3D human model, in order to recognize the posture of a monitored person, given the segmented human silhouette from the background. The ...
Human segmentation and pose recognition in fish-eye video for assistive environments
(2013)
In this work, we present a system, which uses computer vision techniques for human silhouette segmentation from video in indoor environments and a parametric 3D human model, in order to recognize the posture of the monitored ...