AIMC Topic: Algorithms

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Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.

International journal of radiation oncology, biology, physics Jul 2, 2019
PURPOSE: The first aim of this work is to present a novel deep convolution neural network (DCNN) multiplane approach and compare it to single-plane prediction of synthetic computed tomography (sCT) by using the real computed tomography (CT) as ground...
Radiotherapy, Image-Guided Technology, Radiologic Air Skull Proton Therapy Multimodal Imaging Glioblastoma Feasibility Studies Radiotherapy Planning, Computer-Assisted Head Radiotherapy Dosage Reproducibility of Results Brain Neoplasms Magnetic Resonance Imaging Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans
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A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips.

Neural networks : the official journal of the International Neural Network Society Jul 2, 2019
Multimodal emotion understanding enables AI systems to interpret human emotions. With accelerated video surge, emotion understanding remains challenging due to inherent data ambiguity and diversity of video content. Although deep learning has made a ...
Emotions Photic Stimulation Motion Pictures Humans Neural Networks, Computer Algorithms Deep Learning Fuzzy Logic
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Cancer classification and pathway discovery using non-negative matrix factorization.

Journal of biomedical informatics Jul 2, 2019
OBJECTIVES: Extracting genetic information from a full range of sequencing data is important for understanding disease. We propose a novel method to effectively explore the landscape of genetic mutations and aggregate them to predict cancer type.
Humans Algorithms Reproducibility of Results Databases, Genetic Sequence Analysis, DNA Regression Analysis Mutation Exome Cell Line, Tumor Neoplasms Gene Expression Regulation, Neoplastic Diagnosis, Computer-Assisted Support Vector Machine Pilot Projects
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Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.

Physics in medicine and biology Jul 2, 2019
A deeply supervised attention-enabled boosted convolutional neural network (DAB-CNN) is presented as a superior alternative to current state-of-the-art convolutional neural networks (CNNs) for semantic CT segmentation. Spatial attention gates (AGs) w...
Humans Neural Networks, Computer Imaging, Three-Dimensional Prostatic Neoplasms Organs at Risk Algorithms Tomography, X-Ray Computed Male
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A Real-Time Arrhythmia Heartbeats Classification Algorithm Using Parallel Delta Modulations and Rotated Linear-Kernel Support Vector Machines.

IEEE transactions on bio-medical engineering Jul 1, 2019
Real-time wearable electrocardiogram monitoring sensor is one of the best candidates in assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time machine learning system for Arrhythmia classification. The system is based...
Heart Rate Ventricular Premature Complexes Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Humans Algorithms
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Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 1, 2019
The prevailing characteristics of micro-videos result in the less descriptive power of each modality. The micro-video representations, several pioneer efforts proposed, are limited in implicitly exploring the consistency between different modality in...
Machine Learning Dogs Data Mining Video Recording Algorithms Animals Image Processing, Computer-Assisted Semantics
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AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening.

Journal of chemical information and modeling Jul 1, 2019
Although algebraic graph theory-based models have been widely applied in physical modeling and molecular studies, they are typically incompetent in the analysis and prediction of biomolecular properties, confirming the common belief that "one cannot ...
Molecular Structure Computational Biology Proteins Databases, Protein Machine Learning Algorithms Molecular Docking Simulation Drug Design
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Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm.

Asian Pacific journal of cancer prevention : APJCP Jul 1, 2019
Objective: Lung cancer is a type of malignancy that occurs most commonly among men and the third most common type of malignancy among women. The timely recognition of lung cancer is necessary for decreasing the effect of death rate worldwide. Since t...
Tomography, X-Ray Computed Lung Neoplasms Algorithms Humans Radiographic Image Interpretation, Computer-Assisted Databases, Factual Neural Networks, Computer Prognosis
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Brain Tumour Segmentation Using Convolutional Neural Network with Tensor Flow.

Asian Pacific journal of cancer prevention : APJCP Jul 1, 2019
Introduction: The determination of tumour extent is a major challenging task in brain tumour planning and quantitative evaluation. Magnetic Resonance Imaging (MRI) is one of the non-invasive technique has emanated as a front- line diagnostic tool for...
Diffusion Tensor Imaging Brain Neoplasms Brain Mapping Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms
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Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database.

EBioMedicine Jul 1, 2019
BACKGROUND: Ear and mastoid disease can easily be treated by early detection and appropriate medical care. However, short of specialists and relatively low diagnostic accuracy calls for a new way of diagnostic strategy, in which deep learning may pla...
Deep Learning Tympanic Membrane Ear Diseases Algorithms Databases, Factual Endoscopy Humans Neural Networks, Computer Machine Learning
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