AIMC Topic: Image Processing, Computer-Assisted

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Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, which simply duplicate original data, have limited eff...
Lung Neural Networks, Computer Humans Algorithms Ultrasonography Image Processing, Computer-Assisted Autoencoder Generative Adversarial Networks
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BentRay-NeRF: Bent-Ray Neural Radiance Fields for Robust Speed-of-Sound Imaging in Ultrasound Computed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Ultrasound computed tomography (USCT) is a promising technique for breast cancer detection because of its quantitative imaging capability of the speed of sound (SOS) of soft tissues and the fact that malignant breast lesions often have a higher SOS c...
Phantoms, Imaging Female Breast Neoplasms Image Processing, Computer-Assisted Breast Ultrasonography Algorithms Humans Tomography, X-Ray Computed Neural Networks, Computer
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Identification of medicinal plant parts using depth-wise separable convolutional neural network.

PloS one May 7, 2025
Identifying relevant plant parts is one of the most significant tasks in the pharmaceutical industry. Correct identification minimizes the risk of mis-identification, which might have unfavorable effects, and it ensures that plants are used medicinal...
Plant Leaves Neural Networks, Computer Plants, Medicinal Algorithms Convolutional Neural Networks Deep Learning Image Processing, Computer-Assisted
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Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.

Biomedical engineering online May 6, 2025
BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managing ophthalmic conditions, such as glaucoma, cataracts, and refractive errors. However, traditional clinical measurement methods are often time-consumi...
Anterior Eye Segment Image Processing, Computer-Assisted Humans Microscopy, Acoustic Deep Learning
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From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices.

Scientific reports May 6, 2025
Given the morphological similarity and medicinal efficacy differences between Acorus tatarinowii Rhizoma and Acorus calamus Rhizoma, both belonging to the Acorus rhizome slices, as well as the phenomenon of their mixed use in the market, this study a...
Image Processing, Computer-Assisted Medicine, Chinese Traditional Acorus Drugs, Chinese Herbal Rhizome Algorithms Deep Learning
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A novel transfer learning framework for non-uniform conductivity estimation with limited data in personalized brain stimulation.

Physics in medicine and biology May 6, 2025
. Personalized transcranial magnetic stimulation (TMS) requires individualized head models that incorporate non-uniform conductivity to enable target-specific stimulation. Accurately estimating non-uniform conductivity in individualized head models r...
Brain Precision Medicine Magnetic Resonance Imaging Electric Conductivity Image Processing, Computer-Assisted Humans Transcranial Magnetic Stimulation Machine Learning
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Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.

IEEE journal of biomedical and health informatics May 6, 2025
Recent advancements in endoscopy video analysis have relied on the utilization of relatively short video clips extracted from longer videos or millions of individual frames. However, these approaches tend to neglect the domain-specific characteristic...
Machine Learning Algorithms Humans Video Recording Endoscopy Image Processing, Computer-Assisted
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SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
In recent years, deep learning achieves significant advancements in medical image segmentation. Research finds that integrating Transformers and CNNs effectively addresses the limitations of CNNs in managing long-distance dependencies and understandi...
Humans Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted Databases, Factual
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Towards High-Quality MRI Reconstruction With Anisotropic Diffusion-Assisted Generative Adversarial Networks and Its Multi-Modal Images Extension.

IEEE journal of biomedical and health informatics May 6, 2025
Recently, fast Magnetic Resonance Imaging reconstruction technology has emerged as a promising way to improve the clinical diagnostic experience by significantly reducing scan times. While existing studies have used Generative Adversarial Networks to...
Generative Adversarial Networks Magnetic Resonance Imaging Humans Anisotropy Neural Networks, Computer Brain Image Processing, Computer-Assisted Algorithms
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MACTFusion: Lightweight Cross Transformer for Adaptive Multimodal Medical Image Fusion.

IEEE journal of biomedical and health informatics May 6, 2025
Multimodal medical image fusion aims to integrate complementary information from different modalities of medical images. Deep learning methods, especially recent vision Transformers, have effectively improved image fusion performance. However, there ...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Brain Multimodal Imaging
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