AIMC Topic: Semantics

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Segmentation with mixed supervision: Confidence maximization helps knowledge distillation.

Medical image analysis Nov 7, 2022
Despite achieving promising results in a breadth of medical image segmentation tasks, deep neural networks (DNNs) require large training datasets with pixel-wise annotations. Obtaining these curated datasets is a cumbersome process which limits the a...
Humans Neural Networks, Computer Semantics Entropy
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Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images.

Sensors (Basel, Switzerland) Nov 3, 2022
Forward-looking sonar is a technique widely used for underwater detection. However, most sonar images have underwater noise and low resolution due to their acoustic properties. In recent years, the semantic segmentation model U-Net has shown excellen...
Neural Networks, Computer Image Processing, Computer-Assisted Sound Attention Semantics
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Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers-A Systematic Literature Review.

Sensors (Basel, Switzerland) Nov 1, 2022
: The planetary rover is an essential platform for planetary exploration. Visual semantic segmentation is significant in the localization, perception, and path planning of the rover autonomy. Recent advances in computer vision and artificial intellig...
Artificial Intelligence Publications Data Collection Semantics
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Caps Captioning: A Modern Image Captioning Approach Based on Improved Capsule Network.

Sensors (Basel, Switzerland) Nov 1, 2022
In image captioning models, the main challenge in describing an image is identifying all the objects by precisely considering the relationships between the objects and producing various captions. Over the past few years, many methods have been propos...
Neural Networks, Computer Semantics
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Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation.

IEEE transactions on medical imaging Oct 27, 2022
Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence in the modern operating theatre. Previous works rely on conventional aggregation modules (e.g., dilated convolution, convolutional LSTM), which only make use...
Neural Networks, Computer Endoscopy Semantics
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Deep Rating and Review Neural Network for Item Recommendation.

IEEE transactions on neural networks and learning systems Oct 27, 2022
To alleviate the sparsity issue, many recommender systems have been proposed to consider the review text as the auxiliary information to improve the recommendation quality. Despite success, they only use the ratings as the ground truth for error back...
Neural Networks, Computer Semantics
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Explainable multi-module semantic guided attention based network for medical image segmentation.

Computers in biology and medicine Oct 25, 2022
Automated segmentation of medical images is crucial for disease diagnosis and treatment planning. Medical image segmentation has been improved based on the convolutional neural networks (CNNs) models. Unfortunately, they are still limited by scenario...
Neural Networks, Computer Image Processing, Computer-Assisted Benchmarking Semantics Neuroimaging
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Semantic Annotation of Experimental Methods in Analytical Chemistry.

Analytical chemistry Oct 25, 2022
A major obstacle for reusing and integrating existing data is finding the data that is most relevant in a given context. The primary metadata resource is the scientific literature describing the experiments that produced the data. To stimulate the de...
Research Design Natural Language Processing Semantics Chemistry, Analytic
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Strong semantic segmentation for Covid-19 detection: Evaluating the use of deep learning models as a performant tool in radiography.

Radiography (London, England : 1995) Oct 24, 2022
INTRODUCTION: With the increasing number of Covid-19 cases as well as care costs, chest diseases have gained increasing interest in several communities, particularly in medical and computer vision. Clinical and analytical exams are widely recognized ...
Humans COVID-19 Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted COVID-19 Testing Semantics
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A natural language processing approach towards harmonisation of European medicinal product information.

PloS one Oct 20, 2022
Product information (PI) is a vital part of any medicinal product approved for use within the European Union and consists of a summary of products characteristics (SmPC) for healthcare professionals and package leaflet (PL) for patients, together wit...
Humans Language Cluster Analysis Natural Language Processing Semantics Linguistics
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