AIMC Topic: Humans

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DynMat, a network that can learn after learning.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2019
To survive in the dynamically-evolving world, we accumulate knowledge and improve our skills based on experience. In the process, gaining new knowledge does not disrupt our vigilance to external stimuli. In other words, our learning process is 'accum...
Unsupervised Machine Learning Algorithms Systems Theory Brain Humans Neural Networks, Computer
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Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce.

Journal of the American College of Radiology : JACR Apr 8, 2019
The increasingly realistic prospect of artificial intelligence (AI) playing an important role in radiology has been welcomed with a mixture of enthusiasm and anxiousness. A consensus has arisen that AI will support radiologists in the interpretation ...
Humans Workforce Forecasting Artificial Intelligence Radiology
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Tutorial and simulations with ADAM: an adaptation and anticipation model of sensorimotor synchronization.

Biological cybernetics Apr 8, 2019
Interpersonal coordination of movements often involves precise synchronization of action timing, particularly in expert domains such as ensemble music performance. According to the adaptation and anticipation model (ADAM) of sensorimotor synchronizat...
Machine Learning Reaction Time Adaptation, Physiological Music Psychomotor Performance Humans Time Perception Anticipation, Psychological
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Task-based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis.

Magnetic resonance in medicine Apr 8, 2019
PURPOSE: Radiomics allows for powerful data-mining and feature extraction techniques to guide clinical decision making. Image segmentation is a necessary step in such pipelines and different techniques can significantly affect results. We demonstrate...
Breast Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Female Magnetic Resonance Imaging Radiologists Breast Neoplasms Databases, Factual
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A knowledge-based system for brain tumor segmentation using only 3D FLAIR images.

Australasian physical & engineering sciences in medicine Apr 8, 2019
This study aims to develop a semi-automatic system for brain tumor segmentation in 3D MR images. For a given image, noise was corrected using SUSAN algorithm first. A specific region of interest (ROI) that contains tumor was identified and then the i...
Knowledge Bases Image Interpretation, Computer-Assisted Humans Brain Neoplasms Algorithms Imaging, Three-Dimensional
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Large-scale quantitative profiling of the Old English verse tradition.

Nature human behaviour Apr 8, 2019
The corpus of Old English verse is an indispensable source for scholars of the Indo-European tradition, early Germanic culture and English literary history. Although it has been the focus of sustained literary scholarship for over two centuries, Old ...
Poetry as Topic Natural Language Processing Data Mining History, Medieval Literature, Medieval Linguistics Humans England Models, Theoretical
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Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.

Psychotherapy (Chicago, Ill.) Apr 8, 2019
Direct observation of psychotherapy and providing performance-based feedback is the gold-standard approach for training psychotherapists. At present, this requires experts and training human coding teams, which is slow, expensive, and labor intensive...
Mental Disorders Female Adult Humans Machine Learning Feasibility Studies Motivational Interviewing Feedback, Psychological Male Clinical Competence
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Learn to segment single cells with deep distance estimator and deep cell detector.

Computers in biology and medicine Apr 8, 2019
Single cell segmentation is a critical and challenging step in cell imaging analysis. Traditional processing methods require time and labor to manually fine-tune parameters and lack parameter transferability between different situations. Recently, de...
Cell Tracking Image Processing, Computer-Assisted Neural Networks, Computer Cell Line Humans Databases, Factual
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Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 8, 2019
Cell classification based on phenotypical, spatial, and genetic information greatly advances our understanding of the physiology and pathology of biological systems. Technologies derived from next generation sequencing and fluorescent activated cell ...
Cell Membrane Green Fluorescent Proteins Gamma Rays Dogs Madin Darby Canine Kidney Cells Animals Computer Systems Proteins Flow Cytometry Cell Line, Tumor Machine Learning Algorithms Humans
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Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.

Medical physics Apr 8, 2019
PURPOSE: There has been burgeoning interest in applying machine learning methods for predicting radiotherapy outcomes. However, the imbalanced ratio of a large number of variables to a limited sample size in radiation oncology constitutes a major cha...
Humans Computational Biology Treatment Outcome Carcinoma, Non-Small-Cell Lung Machine Learning Lung Neoplasms
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