AIMC Topic:
Semantics

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SRV-GAN: A generative adversarial network for segmenting retinal vessels.

Mathematical biosciences and engineering : MBE Jul 12, 2022
In the field of ophthalmology, retinal diseases are often accompanied by complications, and effective segmentation of retinal blood vessels is an important condition for judging retinal diseases. Therefore, this paper proposes a segmentation model fo...
Semantics Retinal Vessels Retinal Diseases Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Evaluation Tool to Diagnose Faults and Discrepancy in Semi-Automated or Manual Annotations in Ultrasound Cine Loops (Videos).

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Good quality (annotated) data is one of the most important aspects of supervised deep learning. Tasks such as semantic segmentation have a huge data requirement in exchange for only satisfactory performance. Large-scale annotations spread across mult...
Ultrasonography Algorithms Semantics Supervised Machine Learning
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Deformable attention (DANet) for semantic image segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Deep learning based medical image segmentation is currently a widely researched topic. Attention mechanism used with deep networks significantly benefit semantic segmen-tation tasks. The recent criss-cross-attention module captures global self-attent...
COVID-19 Semantics Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Humans
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MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Semantic segmentation of surgery scenarios is a fundamental task for computer-aided surgery systems. Precise segmentation of surgical instruments and anatomies contributes to capturing accurate spatial information for tracking. However, uneven reflec...
Semantics Deep Learning Cataract Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Semantic segmentation of anatomical structures in laparoscopic videos is a crucial task to enable the development of new computer-assisted systems that can assist surgeons during surgery. However, this is a difficult task due to artifacts and similar...
Humans Surgeons Cholecystectomy, Laparoscopic Semantics Laparoscopy Deep Learning
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RUBY: Natural Language Processing of French Electronic Medical Records for Breast Cancer Research.

JCO clinical cancer informatics Jul 1, 2022
PURPOSE: Electronic medical records are a valuable source of information about patients' clinical status but are often free-text documents that require laborious manual review to be exploited. Techniques from computer science have been investigated, ...
Electronic Health Records Female Humans Semantics France Natural Language Processing Breast Neoplasms
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Semantic ghost imaging based on recurrent-neural-network.

Optics express Jun 20, 2022
Ghost imaging (GI) illuminates an object with a sequence of light patterns and obtains the corresponding total echo intensities with a bucket detector. The correlation between the patterns and the bucket signals results in the image. Due to such a me...
Neural Networks, Computer Humans Diagnostic Imaging Algorithms Semantics
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Matching biomedical ontologies with GCN-based feature propagation.

Mathematical biosciences and engineering : MBE Jun 9, 2022
With an increasing number of biomedical ontologies being evolved independently, matching these ontologies to solve the interoperability problem has become a critical issue in biomedical applications. Traditional biomedical ontology matching methods a...
Biological Ontologies Semantics Neural Networks, Computer
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Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology.

Studies in health technology and informatics Jun 6, 2022
BACKGROUND: CIGs languages consist of approach specific concepts. More widely used concepts, such as those in UMLS are not typically used.
Unified Medical Language System Computers Natural Language Processing Semantics Language
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Does Enrichment of Clinical Texts by Ontology Concepts Increases Classification Accuracy?

Studies in health technology and informatics Jun 6, 2022
In the medical domain, multiple ontologies and terminology systems are available. However, existing classification and prediction algorithms in the clinical domain often ignore or insufficiently utilize semantic information as it is provided in those...
Semantics Neural Networks, Computer Algorithms
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