Comparative Quantitative and Discriminant Analysis of Wheat Flour with Different Levels of Chemical Azodicarbonamide Using NIR Spectroscopy and Hyperspectral Imaging by Hongju He, Yuling Wang, Shengqi Jiang, Jie Zhang, Jicai Bi, Hong Qiao, Leiqing Pan, Xingqi Ou

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Radiopsy: a prospective observational study on quantitative multiparametric whole-body magnetic resonance imaging to discriminate between smoldering and multiple myeloma by Giacomo Feliciani, Emiliano Loi, Elena Amadori, Eleonora Antognoni, Andrea Prochowski Iamurri, Danila Diano, Daniele Bruno, Arrigo Cattabriga, Paola Caroli, Matteo Marchesini, Davide Bezzi, Delia Cangini, Federica Matteucci, Domenico Barone, Davide Nappi, Gerardo Musuraca, Michela Ceccolini, Sonia Ronconi, Irene Azzali, Giovanni Martinelli, Lorenzo Stefano Maffioli, Nicola Normanno, Anna Sarnelli, Alice Rossi, Claudio Cerchione

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Practical use of radiomic features as a metric for image quality discrimination in [18F] FDG-PET: a pilot study by Jane Burns, Hannah O’Driscoll, Eamon Loughman

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Polarimetric Image Discrimination With Depolarization Mueller Matrix by Pengcheng Wang, Qian Chen, Guohua Gu, Weixian Qian, Kan Ren

“…The related criteria (e.g., Fisher ratio) are introduced to quantitatively evaluate the results. Experimental results indicate that the proposed method shows advantages for image discriminations.…”
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From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors by A. L. Back, C. Kana Tepakbong, L. Paul Bédard, A. Barry, A. Barry

Subjects: “…quantitative descriptors…”
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Shelf Life Identification and Quality Analysis of Golden Delicious Apples Based on Hyperspectral Imaging and Near Infrared Spectroscopy by Xin ZHAO, Shuliang ZHENG, Xiaoying NIU, Jiankang CAO, Han CHEN, Zhilei ZHAO

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Impact of qualitative, semi-quantitative, and quantitative analyses of dynamic contrast-enhanced magnet resonance imaging on prostate cancer detection. by Farid Ziayee, Tim Ullrich, Dirk Blondin, Hannes Irmer, Christian Arsov, Gerald Antoch, Michael Quentin, Lars Schimmöller

“…Dynamic contrast enhanced imaging (DCE) as an integral part of multiparametric prostate magnet resonance imaging (mpMRI) can be evaluated using qualitative, semi-quantitative, or quantitative assessment methods. …”
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Adversarial Dual-Distortion Image Rectification: Integrating Multi-Scale Discriminators and Central Self-Attention Modules by Jingfeng Luo, Chengwan You, Bochuan Zheng

“…Existing fisheye correction methods exhibit performance degradation when processing dual-distortion images. To overcome this, we innovatively designed a central self-attention module adapted to fisheye imaging characteristics. …”
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Clinical value of quantitative analysis of Sonazoid-contrast enhanced ultrasound combined with shear wave elastography in discriminating and diagnosing breast tumor characteristics by Gang Wang, Gang Wang, Yingmei Ouyang, LiTao Ruan

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Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence by Wensong Shi, Yuzhui Hu, Yulun Yang, Yinsen Song, Guotao Chang, He Qian, Zhengpan Wei, Liang Gao, Yingli Sun, Ming Li, Hang Yi, Sikai Wu, Kun Wang, Yousheng Mao, Siyuan Ai, Liang Zhao, Huiyu Zheng, Xiangnan Li

“…This study applies artificial intelligence (AI) for quantitative imaging analysis to differentiate AIS from atypical adenomatous hyperplasia (AAH) and minimally invasive adenocarcinoma (MIA), aiming to enhance clinical diagnosis and prevent misdiagnosis. …”
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Towards quantitative assessment of cerebrovascular autoregulation in human neonates using ultrafast ultrasound imaging by Nikan Fakhari, Julien Aguet, Alison Howell, Minh Nguyen, Luc Mertens, Lynn Crawford, Maelys Venet, Christoph Haller, David Barron, John G. Sled, Jérôme Baranger, Olivier Villemain

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Anatomy-Correlated Breast Imaging and Visual Grading Analysis Using Quantitative Transmission Ultrasound™ by John C. Klock, Elaine Iuanow, Bilal Malik, Nancy A. Obuchowski, James Wiskin, Mark Lenox

“…This study presents correlations between cross-sectional anatomy of human female breasts and Quantitative Transmission (QT) Ultrasound, does discriminate classifier analysis to validate the speed of sound correlations, and does a visual grading analysis comparing QT Ultrasound with mammography. …”
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Lobe-Based Hepatic Uptake Index of Gd-EOB-DTPA on Contrast-Enhanced MRI to Quantitatively Discriminate between Compensated and Decompensated Hepatitis B-Related Cirrhosis by Fulin Lu, Bangguo Tan, Yucheng Huang, Lin Xu, Changqiang Wu, Haiying Zhou, Rui Li, Xiaoming Zhang, Tianwu Chen, Hongjun Li

“…The RHUI could help quantitatively discriminate hepatitis B-related cirrhosis between compensated and decompensated statuses.…”
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Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer by Mariluz Rojo Domingo, Christopher C. Conlin, Roshan Karunamuni, Courtney Ollison, Madison T. Baxter, Karoline Kallis, Deondre D. Do, Yuze Song, Joshua Kuperman, Ahmed S. Shabaik, Michael E. Hahn, Paul M. Murphy, Rebecca Rakow-Penner, Anders M. Dale, Tyler M. Seibert

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Nutrient Content Prediction and Geographical Origin Identification of Bananas by Combining Hyperspectral Imaging with Chemometrics by Honghui Xiao, Chunlin Li, Mingyue Wang, Zhibo Huan, Hanyi Mei, Jing Nie, Karyne M. Rogers, Zhen Wu, Yuwei Yuan

“…Hyperspectral data were combined with chemometric methods to construct quantitative and qualitative models for bananas, predicting soluble solids content (SSC), potassium content (K), and country of origin. …”
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Exploring the associations between features from multi-parametric MR images in Glioblastoma using radiomics by Lei Xu, Wenzhe Zhao, Ruirui Guo, Xin Huang

“…Methods Utilizing the University of Pennsylvania Health System Glioblastoma dataset from The Cancer Imaging Archive, we extracted quantitative features from T1-weighted, T2-weighted, T2 fluid attenuated inversion recovery (T2-FLAIR), and post-contrast T1-weighted (T1-Gd) images. …”
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Quantitative analysis of the proportion of α- and β-AlFeMnSi particles in wrought alloys based on image processing by Lehang Ma, Jianguo Tang, Wenbin Tu, Haichun Jiang, Heng Zhu, Xin Zhan, Yong Zhang, Huijin Tao

“…The morphology and size of α - and β -AlFeMnSi particles in an Al-Mg-Si wrought alloys are quantitatively investigated in this study. The length and width data of the particles were analysed by image processing from scanning electron microscopy and back-scattered electron images. …”
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Quantitative assessment of brain glymphatic imaging features using deep learning-based EPVS segmentation and DTI-ALPS analysis in Alzheimer’s disease by Fenyang Chen, Tiantian Heng, Qi Feng, Rui Hua, Jiaojiao Wu, Feng Shi, Zhengluan Liao, Keyin Qiao, Zhiliang Zhang, Jianliang Miao

“…BackgroundThis study aimed to quantitatively evaluate brain glymphatic imaging features in patients with Alzheimer’s disease (AD), amnestic mild cognitive impairment (aMCI), and normal controls (NC) by applying a deep learning-based method for the automated segmentation of enlarged perivascular space (EPVS) and diffusion tensor imaging analysis along perivascular spaces (DTI-ALPS) indices.MethodsA total of 89 patients with AD, 24 aMCI, and 32 NCs were included. …”
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Quantitative MRI of dorsal root ganglion alterations in neurofibromatosis type 1 patients with or without pain by Magnus Schindehütte, Eva Meller, Thomas Kampf, Florian Hessenauer, Nurcan Üçeyler, György Homola, Heike L. Rittner, Cordula Matthies, Mirko Pham, Simon Weiner

“…These findings highlight the potential of DRG MRI to quantify DRG pathology in vivo and to determine the risk of functional pain status by imaging. Relevance statement The identification of structural and microstructural changes of the DRG by quantitative MRI provides a novel in vivo biomarker for understanding neuropathic pain mechanisms, pain risk assessment and treatment monitoring in NF1. …”
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Quantitative Analysis of White Matter Hyperintensities as a Predictor of 1-Year Risk for Ischemic Stroke Recurrence by Yi Sun, Wenping Xia, Ran Wei, Zedong Dai, Xilin Sun, Jie Zhu, Bin Song, Hao Wang

“…The nomogram incorporating quantitative WMHs data showed superior discrimination compared to those based on the Fazekas scale or clinical factors alone, with C-index values of 0.709 versus 0.647 and 0.648, respectively, in the testing set. …”
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