AIMC Topic: Pattern Recognition, Automated
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Human Gait Recognition Based on Frame-by-Frame Gait Energy Images and Convolutional Long Short-Term Memory.
International journal of neural systems
Sep 18, 2019
Human gait recognition is one of the most promising biometric technologies, especially for unobtrusive video surveillance and human identification from a distance. Aiming at improving recognition rate, in this paper we study gait recognition using de...
Chinese clinical named entity recognition with radical-level feature and self-attention mechanism.
Journal of biomedical informatics
Sep 18, 2019
Named entity recognition is a fundamental and crucial task in medical natural language processing problems. In medical fields, Chinese clinical named entity recognition identifies boundaries and types of medical entities from unstructured text such a...
Adversarial Examples: Opportunities and Challenges.
IEEE transactions on neural networks and learning systems
Sep 17, 2019
Deep neural networks (DNNs) have shown huge superiority over humans in image recognition, speech processing, autonomous vehicles, and medical diagnosis. However, recent studies indicate that DNNs are vulnerable to adversarial examples (AEs), which ar...
Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net.
IEEE journal of biomedical and health informatics
Sep 16, 2019
In this paper, deep belief net (DBN) was applied into the field of wearable-sensor based Chinese sign language (CSL) recognition. Eight subjects were involved in the study, and all of the subjects finished a five-day experiment performing CSL on a ta...
A superpixel-driven deep learning approach for the analysis of dermatological wounds.
Computer methods and programs in biomedicine
Sep 13, 2019
BACKGROUND: The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript presents an approach, we named QTDU, that combines deep learning models wi...
Principal Component Analysis
Area Under Curve
Bayes Theorem
Skin Ulcer
Dermatology
Pattern Recognition, Automated
Deep Learning
Image Processing, Computer-Assisted
Support Vector Machine
Reproducibility of Results
Sensitivity and Specificity
Diagnosis, Computer-Assisted
Humans
Machine Learning
Algorithms
Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter.
Scientific reports
Sep 13, 2019
Current histological and anatomical analysis techniques, including fluorescence in situ hybridisation, immunohistochemistry, immunofluorescence, immunoelectron microscopy and fluorescent fusion protein, have revealed great distribution diversity of m...
EUSKOR: End-to-end coreference resolution system for Basque.
PloS one
Sep 12, 2019
This paper describes the process of adapting the Stanford Coreference resolution module to the Basque language, taking into account the characteristics of the language. The module has been integrated in a linguistic analysis pipeline obtaining an end...
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.
Medical image analysis
Sep 11, 2019
Convolutional neural networks (CNNs) have recently led to significant advances in automatic segmentations of anatomical structures in medical images, and a wide variety of network architectures are now available to the research community. For applica...
Image denoising using deep CNN with batch renormalization.
Neural networks : the official journal of the International Neural Network Society
Sep 5, 2019
Deep convolutional neural networks (CNNs) have attracted great attention in the field of image denoising. However, there are two drawbacks: (1) it is very difficult to train a deeper CNN for denoising tasks, and (2) most of deeper CNNs suffer from pe...
Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs.
Computer methods and programs in biomedicine
Sep 5, 2019
BACKGROUND AND OBJECTIVE: Patients with migraine show an increased presence of white matter hyperintensities (WMHs), especially deep WMHs. Segmentation of small, deep WMHs is a critical issue in managing migraine care. Here, we aim to develop a novel...
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