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501
Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network
Published 2023-10-01“…Abstract This research proposes using a Convolutional Neural Network (CNN) with VGGNet-19 and ResNet-50 architectures for COVID-19 diagnosis through chest X-ray image analysis. Modifications were made by comparing the dropout regularization values of 50% and 80% for both architectures and altering the number of classification layers to 4 classes. …”
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502
3D echocardiography derived reference values and determinants of left ventricular twist and torsion from the population-based STAAB cohort study
Published 2025-02-01“…Using three-dimensional (3D) echocardiography, we identified determinants of LV “twist” and “torsion”, and established reference values using a large population-based cohort. 3D echocardiography images were recorded in n = 2803 subjects within the prospective STAAB cohort study investigating a representative age- and sex-stratified sample of residents of the city of Würzburg, aged 30–79 years, without history of heart failure. Valid 3D image analysis was performed in n = 1831 (65.3%) subjects (mean age 57 ± 11 years, 49.3% women). …”
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503
Associations of serum and tissue TIMP1 with host response and survival in colorectal cancer
Published 2025-01-01“…TIMP1 histoscore by cell type (tumor cell, other) was quantified using digital image analysis. Serum TIMP1 levels were evaluated for correlations with tumor TIMP1 expression, and their associations with tumor characteristics, inflammation, and prognosis were investigated. …”
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504
ASPEK RUANG SEBAGAI LANDASAN PEMILIHAN RUANG DI TEPI LAUT SENGGOL
Published 2023-12-01“…While, this research design is cross-sectional using cross tabulation and biplot image analysis. Through questionnaire survey, respondents which consist of 85 people were asked to choose one of the spaces which they liked, including their reason to like it according to space aspects. …”
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505
Mast Cells Positive to Tryptase and c-Kit Receptor Expressing Cells Correlates with Angiogenesis in Gastric Cancer Patients Surgically Treated
Published 2013-01-01“…In a series of 25 gastric cancer patients with stage T3N2-3M0 (by AJCC for Gastric Cancer 7th Edition), immunohistochemistry and image analysis methods were employed to evaluate in the tumour tissue the correlation between the number of mast cells positive to tryptase (MCPT), c-KitR expressing cells (c-KitR-EC), and microvascular density (MVD). …”
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506
Depression and Temporal Lobe Epilepsy: Expression Pattern of Calbindin Immunoreactivity in Hippocampal Dentate Gyrus of Patients Who Underwent Epilepsy Surgery with and without Com...
Published 2019-01-01“…The semiquantitative analysis of CB immunoreactivity was determined in dentate gyrus by computerized image analysis (ImageJ). Results. Hippocampal sections of patients with TLE and HS (n=24) and postmortem controls (n=5) were included. …”
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507
Deep imaging of LepR+ stromal cells in optically cleared murine bone hemisections
Published 2025-01-01“…Confocal microscopy of these transparent samples allows for qualitative and quantitative image analysis using Aivia or Bitplane Imaris software, assessing a spectrum of parameters. …”
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508
Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems
Published 2023-12-01“…Thus, fields with a broad range of spectrum range from mathematics, physics, biology, fluid mechanics, medicine, engineering, image analysis, based on differing perspectives in our special issue which presents a compilation of recent research elaborating on the related advances in foundations, theory, methodology and topic-based implementations regarding fractals, fractal methodology, fractal spline, non-differentiable fractal functions, fractional calculus, fractional mathematics, fractional differential equations, differential equations (PDEs, ODEs), chaos, bifurcation, Lie symmetry, stability, sensitivity, deep learning approaches, machine learning, and so forth through advanced fractional mathematics, fractional calculus, data intensive schemes, algorithms and machine learning applications surrounding complex chaotic systems.…”
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509
Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI
Published 2025-01-01“…Deformable image registration is a cornerstone of many medical image analysis applications, particularly in the context of fetal brain magnetic resonance imaging (MRI), where precise registration is essential for studying the rapidly evolving fetal brain during pregnancy and potentially identifying neurodevelopmental abnormalities. …”
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510
3D Coaxial Printing of Small‐Diameter Artificial Arteries
Published 2025-02-01“…The gelation study of natural polymers and the utilization of sacrificial phase enables the smooth extrusion of the multiphase conduit, where computer‐assisted image analysis is employed to quantify manufacturing fidelity. …”
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511
Standardization of the Agar Plate Method for Bacteriophage Production
Published 2024-12-01“…Plaque assays were conducted with the double-layer agar method, and plaque sizes were precisely measured using image analysis tools. Regression models developed with Minitab software established correlations between plaque size and phage production, optimizing production while minimizing resistance development. …”
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512
Monitoring of agricultural progress in rice-wheat rotation area based on UAV RGB images
Published 2025-01-01“…By integrating Unmanned aerial vehicle (UAV) image analysis technology and deep learning techniques, we proposed a method for precise monitoring of agricultural progress in rice-wheat rotation areas. …”
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513
scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics
Published 2025-02-01“…Summary: Current deep-learning-based image-analysis solutions exhibit limitations in holistically capturing spatiotemporal cellular changes, particularly during aging. …”
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514
Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach
Published 2025-01-01“…Conclusions: To the best of our knowledge, the DNetPRO algorithm was applied for the first time to medical image analysis and proved suitable for the selection of radiomic features with the highest predictive power, a crucial step in a radiomic pipeline. …”
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515
Identification and Spatial Mapping of Locality of Streetscapes in Shanghai Hengfu Historic and Cultural Preservation Area
Published 2025-02-01“…These indicators are then compared with streetscape characteristics that can be measured by current image analysis technologies. On this basis, a framework for identification of streetscape locality is constructed. …”
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516
Interaction of human gut microbiota and local immune system in progression of colorectal adenoma (MIMICA-1): a protocol for a prospective, observational cohort study
Published 2025-01-01“…The intestinal immune system response will be examined using digital image analysis where primarily immunohistochemistry procedures for CD3, CD8, CD20 and CD68 immune cell markers will be performed. …”
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517
Stromal architecture and fibroblast subpopulations with opposing effects on outcomes in hepatocellular carcinoma
Published 2025-01-01“…By combining pathological image analysis with spatial proteomics, we revealed two stromal archetypes in hepatocellular carcinoma (HCC) with different biological functions and extracellular matrix compositions. …”
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518
Compressive Toughness Loss Rate and Softening Characteristic Analysis of Pasture Fiber-Rubber Powder Concrete
Published 2022-01-01“…According to the RapidAir457 system imaging analysis, the pasture fibers form a web-like organization inside the concrete when the pasture fiber is mixed at 3 kg/m3.…”
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519
Genome-wide association study unravels mechanisms of brain glymphatic activity
Published 2025-01-01“…Abstract Brain glymphatic activity, as indicated by diffusion-tensor imaging analysis along the perivascular space (ALPS) index, is involved in developmental neuropsychiatric and neurodegenerative diseases, but its genetic architecture is poorly understood. …”
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520
Morphology of Peripheral Vitreoretinal Interface Abnormalities Imaged with Spectral Domain Optical Coherence Tomography
Published 2019-01-01“…The objective of this study is to describe the clinical utility and morphologic characteristics of peripheral vitreoretinal interface abnormalities with spectral domain optical coherence tomography (SD-OCT). A prospective imaging analysis of 43 patients with peripheral vitreoretinal interface abnormalities seen on binocular indirect examination with scleral indentation was done. …”
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