AIMC Topic: Neural Networks, Computer

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Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

Computers in biology and medicine Oct 22, 2019
Treatment selection is becoming increasingly more important in acute ischemic stroke patient care. Clinical variables and radiological image biomarkers (old age, pre-stroke mRS, NIHSS, occlusion location, ASPECTS, among others) have an important role...
Computed Tomography Angiography Humans Cerebral Angiography Neural Networks, Computer Prospective Studies Stroke Female Brain Ischemia Endovascular Procedures Middle Aged Aged Aged, 80 and over Postoperative Complications Male Predictive Value of Tests Registries
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Breast cancer histopathology image classification through assembling multiple compact CNNs.

BMC medical informatics and decision making Oct 22, 2019
BACKGROUND: Breast cancer causes hundreds of thousands of deaths each year worldwide. The early stage diagnosis and treatment can significantly reduce the mortality rate. However, the traditional manual diagnosis needs intense workload, and diagnosti...
Humans Neural Networks, Computer Algorithms Computer Simulation Female Carcinoma in Situ Neoplasm Invasiveness Sensitivity and Specificity Breast Breast Neoplasms Datasets as Topic Image Processing, Computer-Assisted Data Compression
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Predicting rice blast disease: machine learning versus process-based models.

BMC bioinformatics Oct 22, 2019
BACKGROUND: In this study, we compared four models for predicting rice blast disease, two operational process-based models (Yoshino and Water Accounting Rice Model (WARM)) and two approaches based on machine learning algorithms (M5Rules and Recurrent...
Neural Networks, Computer Machine Learning Algorithms Computer Simulation Oryza Plant Diseases
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Prediction of microbial communities for urban metagenomics using neural network approach.

Human genomics Oct 22, 2019
BACKGROUND: Microbes are greatly associated with human health and disease, especially in densely populated cities. It is essential to understand the microbial ecosystem in an urban environment for cities to monitor the transmission of infectious dise...
Metagenomics New York Boston Cities Models, Genetic Databases, Genetic Microbiota Neural Networks, Computer Algorithms Reproducibility of Results
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Human mitochondrial genome compression using machine learning techniques.

Human genomics Oct 22, 2019
BACKGROUND: In recent years, with the development of high-throughput genome sequencing technologies, a large amount of genome data has been generated, which has caused widespread concern about data storage and transmission costs. However, how to effe...
Genome, Mitochondrial Data Compression Models, Genetic Databases, Genetic Base Sequence Humans Neural Networks, Computer Machine Learning Algorithms
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Effect of Radiation Doses to the Heart on Survival for Stereotactic Ablative Radiotherapy for Early-stage Non-Small-cell Lung Cancer: An Artificial Neural Network Approach.

Clinical lung cancer Oct 21, 2019
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall survival (OS) for patients with locally advanced non-small-cell lung cancer (NSCLC). However, radiation-induced cardiac toxicity among patients with ea...
Radiotherapy Dosage Female Survival Rate Lung Neoplasms Humans Radiosurgery Carcinoma, Non-Small-Cell Lung Carcinoma, Squamous Cell Cardiotoxicity Male Neural Networks, Computer Follow-Up Studies Aged Middle Aged Neoplasm Staging Retrospective Studies Aged, 80 and over
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Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 21, 2019
PURPOSE: Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep neural netwo...
Neural Networks, Computer Survival Rate Algorithms Male Retrospective Studies Middle Aged Disease Progression Follow-Up Studies Female Humans Aged, 80 and over Area Under Curve Melanoma Young Adult Deep Learning Biopsy Risk Factors Adult Neoplasm Recurrence, Local Aged Image Processing, Computer-Assisted Staining and Labeling
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Multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions.

Neural networks : the official journal of the International Neural Network Society Oct 21, 2019
This paper is concerned with multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions. Under some reasonable conditions, the addressed networks have (2m+1) equilibrium points. (m+1)...
Computer Simulation Neurons Neural Networks, Computer Algorithms
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A Deep Learning-Based Approach for High-Throughput Hypocotyl Phenotyping.

Plant physiology Oct 21, 2019
Hypocotyl length determination is a widely used method to phenotype young seedlings. The measurement itself has advanced from using rulers and millimeter papers to assessing digitized images but remains a labor-intensive, monotonous, and time-consumi...
Neural Networks, Computer Algorithms High-Throughput Screening Assays Phenotype Arabidopsis Deep Learning Hypocotyl Light
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Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning.

Proceedings of the National Academy of Sciences of the United States of America Oct 21, 2019
Computed tomography (CT) of the head is used worldwide to diagnose neurologic emergencies. However, expertise is required to interpret these scans, and even highly trained experts may miss subtle life-threatening findings. For head CT, a unique chall...
Humans Neural Networks, Computer Acute Disease Intracranial Hemorrhages Algorithms Tomography, X-Ray Computed Deep Learning
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