AIMC Topic: Algorithms

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Evolutionary image simplification for lung nodule classification with convolutional neural networks.

International journal of computer assisted radiology and surgery May 29, 2018
PURPOSE: Understanding decisions of deep learning techniques is important. Especially in the medical field, the reasons for a decision in a classification task are as crucial as the pure classification results. In this article, we propose a new appro...
Machine Learning Software Algorithms Humans Neural Networks, Computer Lung Neoplasms Solitary Pulmonary Nodule Decision Making Electronic Data Processing Lung Diagnosis, Computer-Assisted Image Processing, Computer-Assisted
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Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

Computer methods and programs in biomedicine May 29, 2018
BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in the formulation of an effective and efficient strategy to improve the participation rate has been growing. The aim ...
Male Middle Aged ROC Curve Logistic Models Support Vector Machine Normal Distribution Health Status Humans Area Under Curve Databases, Factual Aged Machine Learning Patient Compliance Retrospective Studies Adult Algorithms Japan Female Sensitivity and Specificity
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Development of an efficient algorithm for the detection of macular edema from optical coherence tomography images.

International journal of computer assisted radiology and surgery May 29, 2018
PURPOSE: Detection of eye diseases and their treatment is a key to reduce blindness, which impacts human daily needs like driving, reading, writing, etc. Several methods based on image processing have been used to monitor the presence of macular dise...
Macula Lutea Humans Machine Learning Algorithms Image Processing, Computer-Assisted Tomography, Optical Coherence Macular Edema
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Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor.

Journal of cancer research and clinical oncology May 25, 2018
PURPOSE: Acquired resistance (AR) to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is a major issue worldwide, for both patients and healthcare providers. However, precise prediction is currently infeasible due to the lack o...
Cell Line, Tumor Models, Genetic Reproducibility of Results Drug Resistance, Neoplasm Neoplasms ErbB Receptors Humans Transcriptome Protein Kinase Inhibitors Machine Learning Algorithms
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Epileptic seizure anticipation and localisation of epileptogenic region using EEG signals.

Journal of medical engineering & technology May 25, 2018
Electric activity of brain gets disturbed prior to epileptic seizure onset. Early prediction of an upcoming seizure can help to increase effectiveness of antiepileptic drugs. The scalp electroencephalogram signals contain information about the dynami...
Algorithms Brain Reproducibility of Results Humans Electroencephalography Neural Networks, Computer Epilepsy Machine Learning Seizures
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A lexicon based method to search for extreme opinions.

PloS one May 25, 2018
Studies in sentiment analysis and opinion mining have been focused on many aspects related to opinions, namely polarity classification by making use of positive, negative or neutral values. However, most studies have overlooked the identification of ...
Attitude Humans Algorithms Unsupervised Machine Learning Vocabulary
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Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion.

PloS one May 25, 2018
This paper presents a robust 3D point cloud registration algorithm based on bidirectional Maximum Correntropy Criterion (MCC). Comparing with traditional registration algorithm based on the mean square error (MSE), using the MCC is superior in dealin...
Artificial Intelligence Humans Signal Processing, Computer-Assisted Algorithms Probability Imaging, Three-Dimensional Signal-To-Noise Ratio
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Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.

IEEE transactions on pattern analysis and machine intelligence May 24, 2018
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t...
Connectome Nerve Net Drosophila Neurons Cerebral Cortex Microscopy, Electron Algorithms Animals Deep Learning Image Processing, Computer-Assisted Imaging, Three-Dimensional Mice
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Application of Machine Learning to Predict Dietary Lapses During Weight Loss.

Journal of diabetes science and technology May 24, 2018
BACKGROUND: Individuals who adhere to dietary guidelines provided during weight loss interventions tend to be more successful with weight control. Any deviation from dietary guidelines can be referred to as a "lapse." There is a growing body of resea...
Humans Adult Male Smartphone Machine Learning Patient Compliance Algorithms Diet, Reducing Mobile Applications Weight Reduction Programs Female Overweight Ecological Momentary Assessment Obesity
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An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses.

IEEE transactions on biomedical circuits and systems May 24, 2018
Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable resistive RAM or RRAM array serving as synaptic weights and neuronal drivers i...
Algorithms Neural Networks, Computer Software
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