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Image Processing, Computer-Assisted - AI Medical Compendium

AIMC Topic: Image Processing, Computer-Assisted

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Deep learning-based plane pose regression in obstetric ultrasound.

International journal of computer assisted radiology and surgery Apr 30, 2022
PURPOSE: In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a major challenge in skill acquisition. We aim to build a US plane local...
Ultrasonography, Prenatal Deep Learning Female Image Processing, Computer-Assisted Gestational Age Ultrasonography Imaging, Three-Dimensional Humans Neural Networks, Computer Pregnancy
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Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images.

Sensors (Basel, Switzerland) Apr 30, 2022
We propose an encoder-decoder architecture using wide and deep convolutional layers combined with different aggregation modules for the segmentation of medical images. Initially, we obtain a rich representation of features that span from low to high ...
Neural Networks, Computer Disease Progression Humans Image Processing, Computer-Assisted Data Collection
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A Novel Transformer-Based Attention Network for Image Dehazing.

Sensors (Basel, Switzerland) Apr 30, 2022
Image dehazing is challenging due to the problem of ill-posed parameter estimation. Numerous prior-based and learning-based methods have achieved great success. However, most learning-based methods use the changes and connections between scale and de...
Disease Progression Image Processing, Computer-Assisted Humans Neural Networks, Computer Learning
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Computer Vision-Based Medical Cloud Data System for Back Muscle Image Detection.

Computational intelligence and neuroscience Apr 30, 2022
The fast development of image recognition and information technology has influenced people's life and industry management mode not only in some common fields such as information management, but also has very much improved the working efficiency of va...
Neural Networks, Computer Humans Computers Back Muscles Algorithms Image Processing, Computer-Assisted
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Improved Deep Neural Network for Cross-Media Visual Communication.

Computational intelligence and neuroscience Apr 30, 2022
Cross-media visual communication is an extremely complex task. In order to solve the problem of segmentation of visual foreground and background, improve the accuracy of visual communication scene reconstruction, and complete the task of visual real-...
Research Design Communication Machine Learning Neural Networks, Computer Image Processing, Computer-Assisted
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DARQ: Deep learning of quality control for stereotaxic registration of human brain MRI to the T1w MNI-ICBM 152 template.

NeuroImage Apr 29, 2022
Linear registration to stereotaxic space is a common first step in many automated image-processing tools for analysis of human brain MRI scans. This step is crucial for the success of the subsequent image-processing steps. Several well-established al...
Quality Control Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Humans Brain
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Using DeepLab v3 + -based semantic segmentation to evaluate platelet activation.

Medical & biological engineering & computing Apr 29, 2022
This research used DeepLab v3 + -based semantic segmentation to automatically evaluate the platelet activation process and count the number of platelets from scanning electron microscopy (SEM) images. Current activated platelet recognition and counti...
Platelet Activation Neural Networks, Computer Image Processing, Computer-Assisted Semantics
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Deep-learning-based 3D cellular force reconstruction directly from volumetric images.

Biophysical journal Apr 28, 2022
The forces exerted by single cells in the three-dimensional (3D) environments play a crucial role in modulating cellular functions and behaviors closely related to physiological and pathological processes. Cellular force microscopy (CFM) provides a f...
Mechanical Phenomena Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Microscopy, Atomic Force Imaging, Three-Dimensional
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Endoscopy image enhancement method by generalized imaging defect models based adversarial training.

Physics in medicine and biology Apr 28, 2022
Smoke, uneven lighting, and color deviation are common issues in endoscopic surgery, which have increased the risk of surgery and even lead to failure.In this study, we present a new physics model driven semi-supervised learning framework for high-qu...
Image Enhancement Endoscopy Smoke Image Processing, Computer-Assisted Supervised Machine Learning
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Image Fusion and Stylization Processing Based on Multiscale Transformation and Convolutional Neural Network.

Computational intelligence and neuroscience Apr 28, 2022
With the continuous development of imaging sensors, images contain more and more information, the images presented by different types of sensors are different, and the images obtained by the same type of sensors under different parameters or conditio...
Artifacts Algorithms Learning Image Processing, Computer-Assisted Neural Networks, Computer
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