AIMC Topic: Image Processing, Computer-Assisted

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Deep learning-based video-level view classification of two-dimensional transthoracic echocardiography.

Biomedical physics & engineering express Feb 19, 2025
In recent years, deep learning (DL)-based automatic view classification of 2D transthoracic echocardiography (TTE) has demonstrated strong performance, but has not fully addressed key clinical requirements such as view coverage, classification accura...
Video Recording Echocardiography Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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TGF-Net: Transformer and gist CNN fusion network for multi-modal remote sensing image classification.

PloS one Feb 19, 2025
In the field of earth sciences and remote exploration, the classification and identification of surface materials on earth have been a significant research area that poses considerable challenges in recent times. Although deep learning technology has...
Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Remote Sensing Technology
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IRMA: Machine learning-based harmonization of F-FDG PET brain scans in multi-center studies.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
PURPOSE: Center-specific effects in PET brain scans arise due to differences in technical and procedural aspects. This restricts the merging of data between centers and introduces source-specific bias.
Humans Machine Learning Male Image Processing, Computer-Assisted Parkinson Disease Brain Female Aged Alzheimer Disease Positron-Emission Tomography Fluorodeoxyglucose F18
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Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
AIM: To evaluate a deep learning-based time-of-flight (DLToF) model trained to enhance the image quality of non-ToF PET images for different tracers, reconstructed using BSREM algorithm, towards ToF images.
Image Processing, Computer-Assisted Radiopharmaceuticals Positron-Emission Tomography Radioactive Tracers Humans Deep Learning Time Factors
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Automated quantification of brain PET in PET/CT using deep learning-based CT-to-MR translation: a feasibility study.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
PURPOSE: Quantitative analysis of PET images in brain PET/CT relies on MRI-derived regions of interest (ROIs). However, the pairs of PET/CT and MR images are not always available, and their alignment is challenging if their acquisition times differ c...
Adult Humans Male Brain Deep Learning Middle Aged Positron Emission Tomography Computed Tomography Retrospective Studies Image Processing, Computer-Assisted Female Feasibility Studies Magnetic Resonance Imaging Aged Automation
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Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

Nuclear medicine communications Feb 18, 2025
OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effective in assessing dopaminergic neuron degeneration in the striatum. In assessing the neuron degeneration, visual and semiquantitative methods are used t...
Parkinson Disease Image Interpretation, Computer-Assisted Tomography, Emission-Computed, Single-Photon Dopamine Plasma Membrane Transport Proteins Humans Deep Learning Neural Networks, Computer Convolutional Neural Networks Brain Image Processing, Computer-Assisted Aged Retrospective Studies Male Female Middle Aged
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Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques.

Magma (New York, N.Y.) Feb 18, 2025
OBJECTIVE: Using deep learning-based techniques to overcome physical limitations and explore the potential performance of 0.2 T low-field unshielded MRI in terms of imaging quality and speed.
Humans Phantoms, Imaging Magnetic Resonance Imaging Equipment Design Algorithms Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted
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A deep learning detection method for pancreatic cystic neoplasm based on Mamba architecture.

Journal of X-ray science and technology Feb 18, 2025
OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This study proposes M-YOLO, a novel model combining Mamba architecture and YOLO, to enhance the detection of pancreatic cystic tumors. The model addresses...
Pancreatic Neoplasms Image Interpretation, Computer-Assisted Pancreatic Cyst Humans Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted
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The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas.

Scientific reports Feb 18, 2025
Linear and volumetric analysis are the typical methods to measure tumor size. 3D volumetric analysis has risen in popularity; however, this is very time and labor intensive limiting its implementation in clinical practice. This study aims to show tha...
Neuroma, Acoustic Image Processing, Computer-Assisted Magnetic Resonance Imaging Tumor Burden Humans Artificial Intelligence Male Software Middle Aged Algorithms Female Imaging, Three-Dimensional Adult
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HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification.

Scientific reports Feb 18, 2025
Optical Coherence Tomography (OCT) plays a crucial role in diagnosing ocular diseases, yet conventional CNN-based models face limitations such as high computational overhead, noise sensitivity, and data imbalance. This paper introduces HDL-ACO, a nov...
Algorithms Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Eye Diseases Humans Neural Networks, Computer
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