Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation by Shadi AlZubi, Naveed Islam, Maysam Abbod

“…International Journal of Biomedical Imaging…”
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Facile Conversion and Optimization of Structured Illumination Image Reconstruction Code into the GPU Environment by Kwangsung Oh, Piero R. Bianco

“…International Journal of Biomedical Imaging…”
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Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images by Soe Ni Ni, J. Tian, Pina Marziliano, Hong-Tym Wong

“…Two hundred and sixty-four swept source optical coherence tomography (SS-OCT) images from 148 patients were analyzed in this study. …”
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Rating pome fruit quality traits using deep learning and image processing by Nhan H. Nguyen, Joseph Michaud, Rene Mogollon, Huiting Zhang, Heidi Hargarten, Rachel Leisso, Carolina A. Torres, Loren Honaas, Stephen Ficklin

“…Granny, is a tool designed for rating fruit using machine‐learning and image‐processing to address rater bias and improve resolution. …”
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Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images by N.S. Demin, N.Y. Ilyasova, R.A. Paringer, D.V. Kirsh

Subjects: “…fundus image…”
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Magnetic resonance imaging after laparotomy of fetal evacuation in advanced abdominal pregnancy by Erien Pradyta, Tri Wulanhandarini, Manggala Pascawardhana

“…Although the ultrasound was used as the diagnostic tool for the AP, the MRI had an excellent ability to show detailed anatomy as a reliable imaging modality for patients with complicated obstetric history.…”
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Generative Adversarial Network-Based Edge-Preserving Superresolution Reconstruction of Infrared Images by Yuqing Zhao, Guangyuan Fu, Hongqiao Wang, Shaolei Zhang, Min Yue

“…The convolutional neural network has achieved good results in the superresolution reconstruction of single-frame images. However, due to the shortcomings of infrared images such as lack of details, poor contrast, and blurred edges, superresolution reconstruction of infrared images that preserves the edge structure and better visual quality is still challenging. …”
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Dark-field X-ray microscopy with structured illumination for three-dimensional imaging by Doğa Gürsoy, Kaan Alp Yay, Elliot Kisiel, Michael Wojcik, Dina Sheyfer, Arndt Last, Matthew Highland, Ian Randal Fisher, Stephan Hruszkewycz, Zahir Islam

“…Abstract Dark-field X-ray microscopy is a lens-based technique that enables real-space imaging of heterogeneous micro- and meso-scale ordered materials. …”
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Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam by Yonglong Li, Hua Zhang, Shuang Wang, Haoran Wang, Jialong Li

“…The practical problem is how to get the underwater image without unwatering and how to analyse the abrasion though the images. …”
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First fluctuation measurements using an Imaging Neutral Particle Analyzer on DIII-D by K.R. Gage, X.D. Du, W.W. Heidbrink, J. Gonzalez-Martin, D. Liu, A.C. Brown

“…A recent upgrade to the Imaging Neutral Particle Analyzer (INPA) on DIII-D has allowed for the first fluctuation measurements using an INPA to be taken during a neoclassical tearing mode (NTM). …”
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An Efficient Fitness Function in Genetic Algorithm Classifier for Landuse Recognition on Satellite Images by Ming-Der Yang, Yeh-Fen Yang, Tung-Ching Su, Kai-Siang Huang

“…GA had demonstrated effectiveness in solving the problems of unsupervised image classification, one of the optimization problems in a large domain. …”
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Positron emission tomography molecular imaging for pathological visualization in multiple system atrophy by La Dong, Rui Zhou, Jinyun Zhou, Ke Liu, Chentao Jin, Jing Wang, Chenxi Xue, Mei Tian, Hong Zhang, Yan Zhong

“…Positron emission tomography (PET) is a non-invasive technique that enables the visualization, characterization, and quantification of these pathological processes from diverse perspectives using radiolabeled agents. PET imaging of molecular events provides valuable insights into the underlying pathomechanisms of MSA and holds significant promise for the development of imaging biomarkers, which could greatly improve disease assessment and management. …”
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Retracted: Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection by Journal of Food Quality

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Assessment of the size and shape of berries using the ImageJ program on the example of honeysuckle by D. Yu. Nokhrin, L. V. Ufimtseva, N. V. Glaz

“…The results of the automatic image analysis in the ImageJ package can be used in horticulture, breeding, and production of fruits and berries.…”
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Current status and future prospects of molecular imaging in targeting the tumor immune microenvironment by Xiang Wang, Xiang Wang, Weifen Shen, Weifen Shen, Lingjun Yao, Lingjun Yao, Chao Li, Chao Li, Huiming You, Huiming You, Duancheng Guo, Duancheng Guo

Subjects: “…molecular imaging…”
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Ship infrared image edge detection based on an improved adaptive Canny algorithm by Lisang Liu, Fenqiang Liang, Jishi Zheng, Dongwei He, Jing Huang

“…Influenced by light reflection and water fog interference, ship infrared images are mostly blurred and have low signal-to-noise ratio. …”
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Self-reports map the landscape of task states derived from brain imaging by Brontë Mckeown, Ian Goodall-Halliwell, Raven Wallace, Louis Chitiz, Bridget Mulholland, Theodoros Karapanagiotidis, Samyogita Hardikar, Will Strawson, Adam Turnbull, Tamara Vanderwal, Nerissa Ho, Hao-Ting Wang, Ting Xu, Michael Milham, Xiuyi Wang, Meichao Zhang, Tirso RJ Gonzalez Alam, Reinder Vos de Wael, Boris Bernhardt, Daniel Margulies, Jeffrey Wammes, Elizabeth Jefferies, Robert Leech, Jonathan Smallwood

“…Over the last two decades, studies have shown that introspective descriptions of psychological states correlate with objective indicators of cognition, including task performance and metrics of brain function, using techniques like functional magnetic resonance imaging (fMRI). Such evidence suggests it may be possible to quantify the mapping between self-reports of experience and objective representations of those states (e.g., those inferred from measures of brain activity). …”
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The localization of ischemic stroke region in CT-images using a-priori information by Aleksandras Krylovas, Olga Štikonienė, Raimondas Čiegis, Mečislavas Meilūnas

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Combined nanoindentation and SEM imaging for phase quantification and creep prediction of cementitious materials by Imane Bekrine, Benoit Hilloulin, Ahmed Loukili

“…The present article introduces a novel and rapid method for processing nanoindentation data using SEM image analysis, called Auto-NI-SEM (Automatic NanoIndentation-Scanning Electron Microscopy). …”
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Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views by Baoqing Guo, Xingfang Zhou, Yingzi Lin, Liqiang Zhu, Zujun Yu

“…In order to improve accuracy of railway intrusion detection, an automatic multimodal registration and fusion algorithm for infrared and visible images with different field of views is presented. …”
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