AIMC Topic: Deep Learning

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Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

International journal of medical informatics Aug 18, 2018
BACKGROUND: The wide adoption of electronic health record systems (EHRs) in hospitals in China has made large amounts of data available for clinical research including breast cancer. Unfortunately, much of detailed clinical information is embedded in...
China Female Ultrasonography, Mammary Radiology Information Systems Image Interpretation, Computer-Assisted Breast Neoplasms Deep Learning Humans Machine Learning Algorithms
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Automatic hyoid bone detection in fluoroscopic images using deep learning.

Scientific reports Aug 17, 2018
The displacement of the hyoid bone is one of the key components evaluated in the swallow study, as its motion during swallowing is related to overall swallowing integrity. In daily research settings, experts visually detect the hyoid bone in the vide...
Hyoid Bone Deep Learning Image Processing, Computer-Assisted Models, Theoretical Fluoroscopy Adult Male Middle Aged Humans Aged, 80 and over Young Adult Female Aged
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Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

Gastrointestinal endoscopy Aug 16, 2018
BACKGROUND AND AIMS: The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made rem...
Artificial Intelligence Retrospective Studies Female Aged, 80 and over Sensitivity and Specificity Carcinoma, Squamous Cell Aged Humans Neural Networks, Computer Japan Tumor Burden Deep Learning Predictive Value of Tests Male Adenocarcinoma Esophageal Neoplasms Middle Aged Diagnosis, Computer-Assisted
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Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges.

Journal of computer-aided molecular design Aug 16, 2018
Advanced mathematics, such as multiscale weighted colored subgraph and element specific persistent homology, and machine learning including deep neural networks were integrated to construct mathematical deep learning models for pose and binding affin...
Computer-Aided Design Drug Design Deep Learning Protein Binding Molecular Docking Simulation Thermodynamics Cathepsins Databases, Protein Receptors, Cytoplasmic and Nuclear Crystallography, X-Ray Protein Kinases Binding Sites Protein Conformation Ligands
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Transfer learning for classification of cardiovascular tissues in histological images.

Computer methods and programs in biomedicine Aug 16, 2018
BACKGROUND AND OBJECTIVE: Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical prac...
Support Vector Machine Neural Networks, Computer Reference Values Machine Learning Cardiovascular System Humans Histological Techniques Algorithms Models, Cardiovascular Models, Anatomic Deep Learning Image Processing, Computer-Assisted
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Prototype-Based Compound Discovery Using Deep Generative Models.

Molecular pharmaceutics Aug 16, 2018
Designing a new drug is a lengthy and expensive process. As the space of potential molecules is very large ( Polishchuk , P. G. ; Madzhidov , T. I. ; Varnek , A. Estimation of the size of drug-like chemical space based on GDB-17 data . J. Comput.-Aid...
Drug Discovery Deep Learning Quantitative Structure-Activity Relationship Isoniazid
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Automated Cardiac MR Scar Quantification in Hypertrophic Cardiomyopathy Using Deep Convolutional Neural Networks.

JACC. Cardiovascular imaging Aug 15, 2018
Deep Learning Automation Magnetic Resonance Imaging Proof of Concept Study Humans Predictive Value of Tests Myocardium Cicatrix Image Interpretation, Computer-Assisted Cardiomyopathy, Hypertrophic
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A convolutional route to abbreviation disambiguation in clinical text.

Journal of biomedical informatics Aug 15, 2018
OBJECTIVE: Abbreviations sense disambiguation is a special case of word sense disambiguation. Machine learning methods based on neural networks showed promising results for word sense disambiguation (Festag and Spreckelsen, 2017) [1] and, here we ass...
Cluster Analysis Data Collection Medical Informatics Automation Hospitals Deep Learning Support Vector Machine Semantics Ohio Neural Networks, Computer Software Language Reproducibility of Results Algorithms Databases, Factual
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Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images.

Journal of chemical information and modeling Aug 15, 2018
The majority of computational methods for predicting toxicity of chemicals are typically based on "nonmechanistic" cheminformatics solutions, relying on an arsenal of QSAR descriptors, often vaguely associated with chemical structures, and typically ...
Models, Chemical Pharmaceutical Preparations Models, Biological Drug-Related Side Effects and Adverse Reactions Algorithms Drug Discovery Deep Learning Small Molecule Libraries Computer Graphics Databases, Pharmaceutical Humans
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Fine-Grained Face Annotation Using Deep Multi-Task CNN.

Sensors (Basel, Switzerland) Aug 14, 2018
We present a multi-task learning-based convolutional neural network (MTL-CNN) able to estimate multiple tags describing face images simultaneously. In total, the model is able to estimate up to 74 different face attributes belonging to three distinct...
Neural Networks, Computer Face Databases, Factual Deep Learning
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