AIMC Topic: Neural Networks, Computer

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Multiscale High-Level Feature Fusion for Histopathological Image Classification.

Computational and mathematical methods in medicine Dec 31, 2017
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It c...
Area Under Curve Diagnostic Imaging False Positive Reactions Models, Statistical Principal Component Analysis ROC Curve Image Processing, Computer-Assisted Neural Networks, Computer Reproducibility of Results Machine Learning Algorithms Diagnosis, Computer-Assisted Software
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.

Computational and mathematical methods in medicine Dec 31, 2017
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The inv...
Female Reproducibility of Results Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Humans Australia Support Vector Machine Breast Neoplasms Neural Networks, Computer Machine Learning Bayes Theorem Cluster Analysis Algorithms
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Outlook on deep neural networks in computational cognitive neuroscience.

NeuroImage Dec 30, 2017
Animals Humans Cognitive Neuroscience Neural Networks, Computer
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A deeper understanding of the brain.

NeuroImage Dec 29, 2017
Neural Networks, Computer Brain Animals Humans
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Lung Lesion Detection in CT Scan Images Using the Fuzzy Local Information Cluster Means (FLICM) Automatic Segmentation Algorithm and Back Propagation Network Classification.

Asian Pacific journal of cancer prevention : APJCP Dec 29, 2017
Lung cancer is a frequently lethal disease often causing death of human beings at an early age because of uncontrolled cell growth in the lung tissues. The diagnostic methods available are less than effective for detection of cancer. Therefore an aut...
Algorithms Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans Neural Networks, Computer Fuzzy Logic Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Processing, Computer-Assisted Lung Neoplasms
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Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification.

International journal of neural systems Dec 28, 2017
The brain activity observed on EEG electrodes is influenced by volume conduction and functional connectivity of a person performing a task. When the task is a biometric test the EEG signals represent the unique "brain print", which is defined by the ...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Brain Mapping Axon Guidance Regression Analysis Biometric Identification Electroencephalography Algorithms Brain
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Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images.

EBioMedicine Dec 28, 2017
Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated image analysis approaches have great potential to increase precision of diagnosis and help reduce human error. In this study, we utilize several computa...
Neural Networks, Computer Algorithms ROC Curve Image Processing, Computer-Assisted Neoplasms Humans
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Disease named entity recognition from biomedical literature using a novel convolutional neural network.

BMC medical genomics Dec 28, 2017
BACKGROUND: Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intens...
Data Mining Disease Neural Networks, Computer Biomedical Research
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CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.

BMC bioinformatics Dec 28, 2017
BACKGROUND: The β-Lactamase (BL) enzyme family is an important class of enzymes that plays a key role in bacterial resistance to antibiotics. As the newly identified number of BL enzymes is increasing daily, it is imperative to develop a computationa...
beta-Lactamases Reproducibility of Results ROC Curve Models, Molecular Amino Acid Sequence Databases, Protein Neural Networks, Computer Algorithms
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Dependency-based long short term memory network for drug-drug interaction extraction.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Drug-drug interaction extraction (DDI) needs assistance from automated methods to address the explosively increasing biomedical texts. In recent years, deep neural network based models have been developed to address such needs and they ha...
Algorithms Drug Interactions Databases as Topic Neural Networks, Computer Statistics as Topic
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