AIMC Topic: Neural Networks, Computer

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Neuron segmentation with deep learning.

Nature methods Jun 1, 2019
Calcium Neural Networks, Computer Machine Learning Deep Learning Neurons
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Perceptual dissociations among views of objects, scenes, and reachable spaces.

Journal of experimental psychology. Human perception and performance Jun 1, 2019
In everyday experience, we interact with objects and we navigate through space. Extensive research has revealed that these visual behaviors are mediated by separable object-based and scene-based processing mechanisms in the mind and brain. However, w...
Reaction Time Humans Attention Space Perception Young Adult Pattern Recognition, Automated Deep Learning Neural Networks, Computer Adult Adolescent Visual Perception Pattern Recognition, Visual
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Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2019
Drug-Related Side Effects and Adverse Reactions Humans Data Mining Social Media Datasets as Topic Neural Networks, Computer Natural Language Processing Pharmacovigilance Deep Learning
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Animal behavior on auto.

Lab animal Jun 1, 2019
Neural Networks, Computer Animal Welfare Behavior, Animal Animals, Laboratory Machine Learning Animals Animal Experimentation
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A Machine Learning Strategy for Autism Screening in Toddlers.

Journal of developmental and behavioral pediatrics : JDBP Jun 1, 2019
OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and intervention, but lack of time and training can deter pediatric screening. The Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) is a widely...
Child, Preschool Checklist Infant Psychiatric Status Rating Scales Humans Female Machine Learning Neural Networks, Computer Male Autism Spectrum Disorder
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Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2019
We appreciate the detailed review provided by Magge et al1 of our article, "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts." 2 In their letter, they present a subjectiv...
Pharmacovigilance Social Media Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Deep Learning Humans
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Applications of machine learning in drug discovery and development.

Nature reviews. Drug discovery Jun 1, 2019
Drug discovery and development pipelines are long, complex and depend on numerous factors. Machine learning (ML) approaches provide a set of tools that can improve discovery and decision making for well-specified questions with abundant, high-quality...
Humans Neural Networks, Computer Drug Design Drug Discovery Machine Learning Animals
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[Model-based treatment in surgery].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen Jun 1, 2019
BACKGROUND: The "magic triangle" in surgery and other disciplines consists of the demand for increasingly gentler forms of treatment, simultaneous cost reduction and the fundamental primacy of improving the quality of results. The digitalization of m...
Humans Surgical Procedures, Operative Neural Networks, Computer Models, Theoretical
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Transfer learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images.

Microscopy (Oxford, England) Jun 1, 2019
Segmentation and detection of mitotic nuclei is a challenging task. To address this problem, a Transfer Learning based fast and accurate system is proposed. To give the classifier a balanced dataset, this work exploits the concept of Transfer Learnin...
Neural Networks, Computer Mitosis Humans Artificial Intelligence Breast Neoplasms Automation, Laboratory Machine Learning Image Processing, Computer-Assisted Female
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Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images.

Journal of digital imaging Jun 1, 2019
Nasopharyngeal carcinoma (NPC) is prevalent in certain areas, such as South China, Southeast Asia, and the Middle East. Radiation therapy is the most efficient means to treat this malignant tumor. Positron emission tomography-computed tomography (PET...
Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Automation Nasopharyngeal Carcinoma Imaging, Three-Dimensional Positron Emission Tomography Computed Tomography
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