Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis by Kun Zhang, JunHong Fu, Liang Hua, Peijian Zhang, Yeqin Shao, Sheng Xu, Huiyu Zhou, Li Chen, Jing Wang

“…Subsequently, epithelial nucleus is identified on the histopathology images, and the lumen segmentation is performed on the background intensity map. …”
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Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition by Dan Shi, Lixin Song

“…City image is the observer’s subjective impression of the city image. …”
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Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection by Qingwei Liu, Yugang Tian, Lihao Zhang, Bo Chen

Subjects: “…very high resolution (VHR) images…”
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Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample by Shinnosuke Kurimoto, Takato Inoue, Hitoshi Aoto, Toshiki Ito, Satsuki Ito, Yoshiki Kohmura, Makina Yabashi, Satoshi Matsuyama

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Barcode Location in Financial Statement System Based on the Partial Differential Equation Image Recognition Algorithm by Jinghua Ning, Song Yu

“…In this paper, image technology is used to preprocess the code 39 barcode label image in the captured image, including color space conversion, image enhancement, threshold segmentation, binarization, and edge detection. …”
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Comparing two corrective exercise approaches for body image and upper-quadrant posture in schoolgirls with hyperkyphosis by Samineh Mokhtaran, Hashem Piri, Rahman Sheikhhoseini, Mohammad Salsali

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Image smoothing method based on global gradient sparsity and local relative gradient constraint optimization by Siyuan Li, Yuan Liu, Jiafu Zeng, Yepeng Liu, Yue Li, Qingsong Xie

“…Abstract Removing texture while preserving the main structure of an image is a challenging task. To address this, this paper propose an image smoothing method based on global gradient sparsity and local relative gradient constraints optimization. …”
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Image encryption method based on multiple-order fractional discrete Tchebichef transform and generating sequence by Bin XIAO, Wenming SHI, Weisheng LI, Jianfeng MA

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A Novel Active Polyphase Filter Employing Frequency-Dependent Image Rejection Enhancement Technique by Yue Yin, Haobo Qi, Haodong Lu, Ziting Feng, Jiayu He, Xinbing Zhang, Lei Li, Xiaofei Qi, Xiyuan Feng

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Spatial Images Feature Extraction Based on Bayesian Nonlocal Means Filter and Improved Contourlet Transform by Pengcheng Han, Junping Du

“…Spatial images are inevitably mixed with different levels of noise and distortion. …”
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Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images by Soichiro Inomata, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori

“…Purpose: This study evaluates the use of deep learning techniques to automatically extract and delineate the aortic valve annulus region from contrast-enhanced cardiac CT images. Two approaches, namely, segmentation and object detection, were compared to determine their accuracy. …”
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A wavelet threshold image denoising algorithm based on a new kind of sign function by Jinge CUI, Bingquan CHEN, Qing XU, Bo DENG

“…Based on the existing threshold denoising algorithm,a threshold denoising algorithm based on the new symbolic function was proposed.The new threshold function has advantages of continuous guidance,small deviation of wavelet coefficient,strong threshold adaptability and so on.It not only preserved the low-frequency wavelet coefficients,but also filtered the noise coefficients in the high-frequency coefficients effectively,so that the reconstructed image was closer to the original image.The simulation results of Bridge image,Lena image and B-mode Fetus image with Gaussian white noise show that the visual effect of both the new threshold function and the quantitative indicators PSNR and MSE are better than the existing threshold image denoising algorithm.The edge and detail information can be better protected,have no obvious oscillation,the image is smoother and even,and the method has good stubbornness under the background of complex noise.…”
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Bilateral Simultaneous Pseudoangiomatous Stromal Hyperplasia of the Breasts and Axillae: Imaging Findings with Pathological and Clinical Correlation by Afsaneh Alikhassi, Fereshteh Ensani, Ramesh Omranipour, Alireza Abdollahi

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Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique by Shengyuan Li, Xuefeng Zhao

“…However, conventional image-based methods need extract crack features using complex image preprocessing techniques, so it can lead to challenges when concrete surface contains various types of noise due to extensively varying real-world situations such as thin cracks, rough surface, shadows, etc. …”
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The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint by Hakim Baazaoui, Stefan T. Engelter, Stefan T. Engelter, Stefan T. Engelter, Henrik Gensicke, Henrik Gensicke, Henrik Gensicke, Lukas S. Enz, Lukas S. Enz, Marios Psychogios, Marios Psychogios, Matthias Mutke, Matthias Mutke, Patrik Michel, Davide Strambo, Alexander Salerno, Henk A. Marquering, Paul J. Nederkoorn, Nabila Wali, Stephanie Tanadini-Lang, Björn Menze, Ezequiel de la Rosa, Kaiyuan Yang, Gian Marco De Marchis, Gian Marco De Marchis, Tolga D. Dittrich, Tolga D. Dittrich, Francesco Valletta, Francesco Valletta, Manon Germann, Carlo W. Cereda, João Pedro Marto, Lisa Herzog, Patrick Hirschi, Zsolt Kulcsar, Susanne Wegener, Susanne Wegener

“…PurposeThe Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository is a collaboration established in 2024 by seven stroke centres in Europe. …”
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Cross Validation Based Distributed Greedy Sparse Recovery for Multiview Through-the-Wall Radar Imaging by Lele Qu, Shimiao An, Yanpeng Sun

“…Multiview through-the-wall radar imaging (TWRI) can improve the imaging quality and target detection by exploiting the measurement data acquired from various views. …”
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An Effective 3D Instance Map Reconstruction Method Based on RGBD Images for Indoor Scene by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…To tackle this issue, we propose a method for constructing object-level instance maps based on RGBD images. First, we utilize the advanced visual odometer ORB-SLAM3 to estimate the poses of image frames and extract keyframes. …”
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StrideHD: A Binary Hyperdimensional Computing System Utilizing Window Striding for Image Classification by Dehua Liang, Jun Shiomi, Noriyuki Miura, Hiromitsu Awano

“…By utilizing the window striding in image classification, StrideHD enables HDC system to be trained and tested using binary hypervectors and achieves high accuracy with fast training speed and significantly low hardware resources. …”
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C-Arm Image-Based Surgical Path Planning Method for Distal Locking of Intramedullary Nails by Wei-En Hsu, Ching-Hsiao Yu, Chih-Ju Chang, Hung-Kang Wu, Tsong-Han Yu, Ching-Shiow Tseng

“…In this study, an algorithm using only one C-arm image to determine the center positions and axial directions of locking holes was developed for drilling guidance. …”
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Retracted: Pathological Clinical Analysis and Imaging Manifestations for Spinal Bone Tumors Based on Cement Injection by Applied Bionics and Biomechanics

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