AIMC Topic:
Semantics

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Word Embedding for French Natural Language in Healthcare: A Comparative Study.

Studies in health technology and informatics Aug 21, 2019
Structuring raw medical documents with ontology mapping is now the next step for medical intelligence. Deep learning models take as input mathematically embedded information, such as encoded texts. To do so, word embedding methods can represent every...
Deep Learning Natural Language Processing Language Semantics
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The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity.

Studies in health technology and informatics Aug 21, 2019
Eliciting semantic similarity between concepts remains a challenging task. Recent approaches founded on embedding vectors have gained in popularity as they have risen to efficiently capture semantic relationships. The underlying idea is that two word...
Semantics MEDLINE Medical Subject Headings Humans Neural Networks, Computer PubMed
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Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks.

Journal of digital imaging Aug 1, 2019
Machine learning has several potential uses in medical imaging for semantic labeling of images to improve radiologist workflow and to triage studies for review. The purpose of this study was to (1) develop deep convolutional neural networks (DCNNs) f...
Breast Neoplasms Deep Learning Machine Learning Breast Female Humans Semantics Mammography Radiographic Image Interpretation, Computer-Assisted
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Ontologic Model of Diagnostics and Treatment of Gastrointestinal Bleedings of Unknown Origin.

Studies in health technology and informatics Jul 4, 2019
The article presents the semantic model of diagnostics and treatment of patients with gastrointestinal bleedings when the reasons of bleeding cannot be establihed by means of a laboratory tests, endoscopy and colonoscopy.
Semantics Biological Ontologies Humans Colonoscopy Gastrointestinal Hemorrhage
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U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
With the advent of robot-assisted surgery, there has been a paradigm shift in medical technology for minimally invasive surgery. However, it is very challenging to track the position of the surgical instruments in a surgical scene, and accurate detec...
Video Recording Laparoscopy Image Interpretation, Computer-Assisted Semantics Deep Learning Robotic Surgical Procedures Surgical Instruments
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Hand and Object Segmentation from Depth Image using Fully Convolutional Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Semantic segmentation is an important step for hand and object tracking as subsequent tracking algorithms depend heavily on the accuracy of the segmented hand and object. However, current methods for hand and object segmentation are limited in the nu...
Image Processing, Computer-Assisted Hand Semantics Movement Algorithms Biomechanical Phenomena Humans Neural Networks, Computer
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OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction.

Bioinformatics (Oxford, England) Jun 1, 2019
MOTIVATION: Ontologies are widely used in biology for data annotation, integration and analysis. In addition to formally structured axioms, ontologies contain meta-data in the form of annotation axioms which provide valuable pieces of information tha...
Phenotype Animals Mice Semantics Biological Ontologies
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Identifying concepts from medical images via transfer learning and image retrieval.

Mathematical biosciences and engineering : MBE Mar 8, 2019
Automatically identifying semantic concepts from medical images provides multimodal insights for clinical research. To study the effectiveness of concept detection on large scale medical images, we reconstructed over 230,000 medical image-concepts pa...
Semantics Pattern Recognition, Automated Humans Area Under Curve Neural Networks, Computer Deep Learning Internet Female Image Processing, Computer-Assisted Breast Neoplasms
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Building deep learning models for evidence classification from the open access biomedical literature.

Database : the journal of biological databases and curation Jan 1, 2019
We investigate the application of deep learning to biocuration tasks that involve classification of text associated with biomedical evidence in primary research articles. We developed a large-scale corpus of molecular papers derived from PubMed and P...
Semantics Models, Theoretical Neural Networks, Computer Publications Deep Learning
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Using Artificial Intelligence to Combat Information Overload in Research.

IEEE pulse Jan 1, 2019
Scientists striving for impact in their fields and to develop their own careers must publish papers that represent new and important science, typically in a peer-reviewed journal. The number of scientific articles published has doubled every nine yea...
Databases as Topic Semantics Humans Artificial Intelligence Research
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