AIMC Topic: Image Processing, Computer-Assisted

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Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Ultrasound detection is a potent tool for the clinical diagnosis of various diseases due to its real-time, convenient, and noninvasive qualities. Yet, existing ultrasound beamforming and related methods face a big challenge to improve both the qualit...
Humans Recurrent Neural Networks Neural Networks, Computer Algorithms Ultrasonography Image Processing, Computer-Assisted Signal Processing, Computer-Assisted
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A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Generating virtual organ populations that capture sufficient variability while remaining plausible is essential to conduct in silico trials (ISTs) of medical devices. However, not all anatomical shapes of interest are always available for each indivi...
Heart Models, Anatomic Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms Databases, Factual Computer Simulation
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Lightweight Explicit 3D Human Digitization via Normal Integration.

Sensors (Basel, Switzerland) Feb 28, 2025
In recent years, generating 3D human models from images has gained significant attention in 3D human reconstruction. However, deploying large neural network models in practical applications remains challenging, particularly on resource-constrained ed...
Humans Algorithms Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

Sensors (Basel, Switzerland) Feb 28, 2025
BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, particularly challenging due to the evolving nature of tissue contrasts in the early months of life. The difficulty increases as gray matter (GM) and wh...
Image Processing, Computer-Assisted Datasets as Topic Humans Convolutional Neural Networks Gray Matter Magnetic Resonance Imaging Infant Brain Imaging, Three-Dimensional White Matter Cerebrospinal Fluid Spatio-Temporal Analysis Deep Learning
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GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images.

Scientific reports Feb 28, 2025
This study introduces a novel deep learning approach aimed at accurately classifying Gallbladder Cancer (GBC) into benign, malignant, and normal categories using ultrasound images from the challenging GBC USG (GBCU) dataset. The proposed methodology ...
Humans Neural Networks, Computer Gallbladder Neoplasms Gallbladder Deep Learning Ultrasonography Image Processing, Computer-Assisted
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Deep Ensemble for Central Serous Microscopic Retinopathy Detection in Retinal Optical Coherence Tomographic Images.

Microscopy research and technique Feb 27, 2025
The retina is an important part of the eye that aids in focusing light and visual recognition to the brain. Hence, its damage causes vision loss in the human eye. Central serous retinopathy is a common retinal disorder in which serous detachment occu...
Humans Tomography, Optical Coherence Neural Networks, Computer Retina Deep Learning Central Serous Chorioretinopathy Image Processing, Computer-Assisted
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AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI.

Computer methods and programs in biomedicine Feb 27, 2025
BACKGROUND AND OBJECTIVE: Diffusion models have demonstrated their ability in image generation and solving inverse problems like restoration. Unlike most existing deep-learning based image restoration techniques which rely on unpaired or paired data ...
Humans Algorithms Brain Image Processing, Computer-Assisted Motion Magnetic Resonance Imaging Artifacts Unsupervised Machine Learning
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Artificial intelligence-enabled lipid droplets quantification: Comparative analysis of NIS-elements Segment.ai and ZeroCostDL4Mic StarDist networks.

Methods (San Diego, Calif.) Feb 27, 2025
Lipid droplets (LDs) are dynamic organelles that are present in almost all cell types, with a particularly high prevalence in adipocytes. The phenotype of LDs in these cells reflects their maturity, metabolic activity and function. Although LDs quant...
Lipid Droplets 3T3-L1 Cells Lipolysis Animals Deep Learning Image Processing, Computer-Assisted Mice Microscopy, Confocal Adipocytes Neural Networks, Computer Artificial Intelligence Software
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Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.

Poultry science Feb 27, 2025
Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. Advancements in image processing and machine learning provide opportunities to automatically quantify and analyze broiler activity. This study aimed t...
Machine Learning Random Allocation Animals Hot Temperature Chickens Male Behavior, Animal Heat-Shock Response Animal Husbandry Image Processing, Computer-Assisted
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Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement.

Sensors (Basel, Switzerland) Feb 27, 2025
Driver drowsiness remains a critical factor in road safety, necessitating the development of robust detection methodologies. This study presents a dual-framework approach that integrates a convolutional neural network (CNN) and a facial landmark anal...
Sleep Stages Humans Neural Networks, Computer Algorithms Accidents, Traffic Deep Learning Image Processing, Computer-Assisted Automobile Driving Face
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