AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 541 to 550 of 1671 articles

Retinal image assessment using bi-level adaptive morphological component analysis.

Artificial intelligence in medicine Jul 30, 2019
The automated analysis of retinal images is a widely researched area which can help to diagnose several diseases like diabetic retinopathy in early stages of the disease. More specifically, separation of vessels and lesions is very critical as featur...
Image Interpretation, Computer-Assisted Algorithms Pattern Recognition, Automated Deep Learning Retina Humans Diabetic Retinopathy
View on PubMed DOI

Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory.

Molecules (Basel, Switzerland) Jul 28, 2019
Materials exhibiting memory or those capable of implementing certain learning schemes are the basic building blocks used in hardware realizations of the neuromorphic computing. One of the common goals within this paradigm assumes the integration of h...
Pattern Recognition, Automated Photochemical Processes Artificial Cells Neural Networks, Computer Artificial Intelligence Algorithms Models, Theoretical Electrochemical Techniques Cadmium Compounds Sulfides Spectrum Analysis
View on PubMed DOI

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Jul 19, 2019
Recent years have witnessed the success of deep learning methods in human activity recognition (HAR). The longstanding shortage of labeled activity data inherently calls for a plethora of semisupervised learning methods, and one of the most challengi...
Supervised Machine Learning Pattern Recognition, Automated Human Activities Humans Neural Networks, Computer
View on PubMed DOI

Deep-Learning Approach to Automatic Identification of Facial Anomalies in Endocrine Disorders.

Neuroendocrinology Jul 19, 2019
BACKGROUND: Deep learning has the potential to assist the medical diagnostic process. We aimed to identify facial anomalies associated with endocrinal disorders using a deep-learning approach to facilitate the process of diagnosis and follow-up.
Humans Female Adult Acromegaly Photography Image Interpretation, Computer-Assisted Face Male Pattern Recognition, Automated Deep Learning Cushing Syndrome
View on PubMed DOI

Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.

Medical image analysis Jul 19, 2019
Grading spondylolisthesis into several stages from MRI images is challenging because detecting critical vertebrae and locating landmarks in images of different characteristics is difficult. We propose Faster Adversarial Recognition (FAR) network to a...
Spondylolisthesis Humans Neural Networks, Computer Anatomic Landmarks Severity of Illness Index Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Pattern Recognition, Automated
View on PubMed DOI

From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder.

Neuroscience and biobehavioral reviews Jul 19, 2019
Pattern classification and stratification approaches have increasingly been used in research on Autism Spectrum Disorder (ASD) over the last ten years with the goal of translation towards clinical applicability. Here, we present an extensive scoping ...
Pattern Recognition, Automated Neuroimaging Autism Spectrum Disorder Brain Humans Precision Medicine Machine Learning
View on PubMed DOI

Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification.

IEEE transactions on pattern analysis and machine intelligence Jul 15, 2019
Person re-identification (re-id) aims to match people across non-overlapping camera views in a public space. This is a challenging problem because the people captured in surveillance videos often wear similar clothing. Consequently, the differences i...
Biometric Identification Video Recording Pattern Recognition, Automated Humans Databases, Factual Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.

Medical image analysis Jul 15, 2019
The goal of this work was to develop a method for accurate and robust automatic segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images for brachytherapy. These images can be difficult to segment because of weak or...
Anatomic Landmarks Prostatic Neoplasms Prostate Deep Learning Ultrasonography Image Processing, Computer-Assisted Artifacts Pattern Recognition, Automated Brachytherapy Humans Neural Networks, Computer Male
View on PubMed DOI

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.

Medical image analysis Jul 12, 2019
Classical deformable registration techniques achieve impressive results and offer a rigorous theoretical treatment, but are computationally intensive since they solve an optimization problem for each image pair. Recently, learning-based methods have ...
Brain Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Statistical Unsupervised Machine Learning Humans Neural Networks, Computer Algorithms Pattern Recognition, Automated
View on PubMed DOI

Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).

Gastrointestinal endoscopy Jul 11, 2019
BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC). Here, we developed and validated a novel system of computer-aided detection ...
Middle Aged Deep Learning Humans ROC Curve Image Interpretation, Computer-Assisted Young Adult Predictive Value of Tests Female Pattern Recognition, Automated Adult Esophageal Squamous Cell Carcinoma Area Under Curve Reproducibility of Results Male Aged Endoscopy, Gastrointestinal
View on PubMed DOI
Popular Topics
Recent Journals