AIMC Topic: Pattern Recognition, Automated
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Person Reidentification via Structural Deep Metric Learning.
IEEE transactions on neural networks and learning systems
Oct 1, 2019
Despite the promising progress made in recent years, person reidentification (re-ID) remains a challenging task due to the complex variations in human appearances from different camera views. This paper proposes to tackle this task by jointly learnin...
Why deep-learning AIs are so easy to fool.
Nature
Oct 1, 2019
Fuzzy Gaussian Lasso clustering with application to cancer data.
Mathematical biosciences and engineering : MBE
Sep 30, 2019
Recently, Yang et al. (2019) proposed a fuzzy model-based Gaussian (F-MB-Gauss) clustering that combines a model-based Gaussian with fuzzy membership functions for clustering. In this paper, we further consider the F-MB-Gauss clustering with the leas...
Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort.
Abdominal radiology (New York)
Aug 1, 2019
OBJECTIVE: To investigate an automated aortic calcium segmentation and scoring tool at abdominal CT in an adult screening cohort.
Skeletal bone age assessments for young children based on regression convolutional neural networks.
Mathematical biosciences and engineering : MBE
Jul 12, 2019
Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations pertaining to genetic disorders, hormonal complications and abnormalities in the skeletal system maturity of children. Conventional methods dating back...
X-Rays
Age Determination by Skeleton
Carpal Bones
Data Interpretation, Statistical
Observer Variation
Pattern Recognition, Automated
Child
Image Processing, Computer-Assisted
Regression Analysis
Reproducibility of Results
Young Adult
Male
Adolescent
Child, Preschool
Infant
China
Neural Networks, Computer
Female
Humans
Algorithms
Infant, Newborn
A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
For many applications, hand gesture recognition systems that rely on biosignal data exclusively are mandatory. Usually, theses systems have to be affordable, reliable as well as mobile. The hand is moved due to muscle contractions that cause motions ...
A Comprehensive Classification System for Breast Cancer Diagnosis Based on Dynamic Optical Breast Imaging.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
The Dynamic Optical Breast Imaging technology is a promising breast cancer diagnosis approach based on tumor angiogenesis or vascular change detection which generally causes an increased blood volume in tumor. By applying sustained pressure to breast...
Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Although myoelectric pattern recognition (MPR) has been considered as a milestone technique to enable dexterous control of multiple degrees of freedom, outlier data interference (i.e., novelty) is a big issue affecting stability of conventional MPR c...
Perceptual dissociations among views of objects, scenes, and reachable spaces.
Journal of experimental psychology. Human perception and performance
Jun 1, 2019
In everyday experience, we interact with objects and we navigate through space. Extensive research has revealed that these visual behaviors are mediated by separable object-based and scene-based processing mechanisms in the mind and brain. However, w...
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.
Journal of digital imaging
Jun 1, 2019
Automatic segmentation of the retinal vasculature and the optic disc is a crucial task for accurate geometric analysis and reliable automated diagnosis. In recent years, Convolutional Neural Networks (CNN) have shown outstanding performance compared ...
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