AIMC Topic: Humans
Showing 65711 to 65720 of 95995 articles
Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.
IEEE transactions on bio-medical engineering
Feb 22, 2019
OBJECTIVE: Nucleus recognition is a critical yet challenging step in histopathology image analysis, for example, in Ki67 immunohistochemistry stained images. Although many automated methods have been proposed, most use a multi-stage processing pipeli...
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
IEEE transactions on neural networks and learning systems
Feb 22, 2019
Principal component analysis (PCA) has been used to study the pathogenesis of diseases. To enhance the interpretability of classical PCA, various improved PCA methods have been proposed to date. Among these, a typical method is the so-called sparse P...
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE transactions on medical imaging
Feb 22, 2019
Delineation of the cardiac structures from 2D echocardiographic images is a common clinical task to establish a diagnosis. Over the past decades, the automation of this task has been the subject of intense research. In this paper, we evaluate how far...
Job interview training targeting nonverbal communication using an android robot for individuals with autism spectrum disorder.
Autism : the international journal of research and practice
Feb 22, 2019
Job interviews are significant barriers for individuals with autism spectrum disorder because these individuals lack good nonverbal communication skills. We developed a job interview training program using an android robot. The job interview training...
Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning.
Parkinsonism & related disorders
Feb 22, 2019
INTRODUCTION: Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms. For example, idiopathic hyposmia (IH), which is a reduced olfactory sensitivity, is typical in >95% of PD patients ...
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
Medical image analysis
Feb 22, 2019
As a non-invasive imaging modality, optical coherence tomography (OCT) can provide micrometer-resolution 3D images of retinal structures. These images can help reveal disease-related alterations below the surface of the retina, such as the presence o...
A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.
The Journal of infection
Feb 22, 2019
Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark.
European journal of cancer (Oxford, England : 1990)
Feb 22, 2019
BACKGROUND: Several recent publications have demonstrated the use of convolutional neural networks to classify images of melanoma at par with board-certified dermatologists. However, the non-availability of a public human benchmark restricts the comp...
Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data.
Journal of biomedical informatics
Feb 22, 2019
Cancer classification from microarray gene expression data is one of the important areas of research in the field of computational biology and bioinformatics. Traditional supervised techniques often fail to produce desired accuracy as the number of c...
MCN: A comprehensive corpus for medical concept normalization.
Journal of biomedical informatics
Feb 22, 2019
Normalization of clinical text involves linking different ways of talking about the same clinical concept to the same term in the standardized vocabulary. To date, very few annotated corpora for normalization have been available, and existing corpora...
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