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Potential of Diffusion Tensor Imaging and Relaxometry for the Detection of Specific Pathological Alterations in Parkinson's Disease (PD).
Published 2015-01-01“…The purpose of the present study was to evaluate the potential of multimodal MR imaging including mean diffusivity (MD), fractional anisotropy (FA), relaxation rates R2 and R2* to detect disease specific alterations in Parkinson's Disease (PD). …”
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42
Infrared object detection for robot vision based on multiple focus diffusion and task interaction alignment
Published 2025-07-01“…However, the small gray-scale difference between the object and the background region in the infrared grayscale image and the single gray-scale information lead to the blurring of the semantic information of the image, which makes the robot unable to detect the object effectively. To address the above problems, this paper proposes a robot visual infrared object detection (MFDTIA-Detection) based on multiple focus diffusion and task interaction alignment. …”
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A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments
Published 2025-02-01Subjects: “…soybean disease detection…”
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Federated Learning Framework Based on Distributed Storage and Diffusion Model for Intrusion Detection on IoT Networks
Published 2025-01-01Subjects: Get full text
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Optical sensor for fast and accurate lung cancer detection with tissue autofluorescence and diffuse reflectance spectroscopy
Published 2025-01-01“…Methods The tissue autofluorescence spectrum and diffuse reflectance spectrum were obtained by using a laboratory‐developed optical sensor system. …”
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46
Application of a Latent Diffusion Model to Plant Disease Detection by Generating Unseen Class Images
Published 2024-12-01“…To overcome this problem, we propose the use of a latent diffusion model for plant disease detection by generating unseen class images. …”
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Deep learning for multiclass tumor cell detection in histopathology slides of hereditary diffuse gastric cancer
Published 2025-08-01“…Summary: Hereditary diffuse gastric cancer (HDGC) is a rare condition where early tumor detection is challenging due to diffuse infiltration and tumor heterogeneity. …”
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48
A Lightweight Conditional Diffusion Segmentation Network Based on Deformable Convolution for Surface Defect Detection
Published 2025-01-01“…Surface defect detection is crucial to industrial manufacturing and research for surface defects has drawn much attention. …”
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Species mass transfer governs the selectivity of gas diffusion electrodes toward H2O2 electrosynthesis
Published 2024-12-01“…The mechanistic origins of diffusion-dependent conversion selectivity at the electrode scale are unveiled accordingly. …”
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51
Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks
Published 2025-05-01“…This method was benchmarked against two diffused lighting crack detection techniques across a dataset with crack widths typically ranging from 0.07 mm to 0.4 mm. …”
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Prospects for Detecting Cosmic Filaments in Lyα Emission across Redshifts z = 2–5
Published 2025-01-01“…Our finding indicates that while the VLT can only detect filamentary structures made of dense gas in galactic centers, the ELT is expected to reveal much finer filamentary structures from diffuse neutral hydrogen outside of galaxies. …”
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Application of quantum-inspired evolutionary algorithm in the analysis of near infrared diffuse transmission spectroscopy of apples
Published 2011-07-01Subjects: Get full text
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Multisensor Diffusion-Driven Optical Image Translation for Large-Scale Applications
Published 2025-01-01Subjects: “…Change detection algorithms…”
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Deep-learning-based detection of large vessel occlusion: A comparison of CT and diffusion-weighted imaging
Published 2025-04-01“…Diffusion-weighted imaging achieved better results than CT&CI did in each performance metric. …”
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Predictive Value of Direct Disk Diffusion Testing from Positive Blood Cultures for Detection of Antimicrobial Nonsusceptibility
Published 2025-02-01“…The results of dDDT were compared against the standard disk diffusion method as the reference standard. A total of 9754 organism–antibiotic pairs were analyzed. …”
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Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models
Published 2024-01-01“…They have shown to excel in anomaly detection by modeling healthy reference data for scoring anomalies. …”
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Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment
Published 2024-11-01“…However, quantitative neuroimaging may be able to detect ongoing subtle microstructural changes. In this study, we hypothesized that tensor-valued diffusion encoding metrics would provide greater sensitivity than conventional diffusion tensor imaging (DTI) metrics in detecting HIV-associated brain microstructural injury. …”
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Segment-based task-specific deep learning framework for detecting state transitions in anomalous diffusion trajectories
Published 2025-01-01“…Recent advanced artificial neural networks, known for their remarkable performance across multiple scientific disciplines, have been applied to these detection tasks. In this study, we propose a deep learning framework that leverages change-point detection models and task-specific models to iteratively segment trajectories into current states and residuals and then subsequently characterize the diffusion properties, respectively. …”
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Test Signal Selection for Determining the Sound Scattering Coefficient in a Reverberation Chamber
Published 2013-10-01Get full text
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