Temporalités du street art et image des territoires en mutation by Clotilde Kullmann

“…On the other hand, it studies the increase of graffitis, which could enrich the urban image by street art according to the criteria of acceptability of the public authorities.…”
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Incidence and Evaluation of Incidental Abnormal Bone Marrow Signal on Magnetic Resonance Imaging by Gunjan L. Shah, Aaron S. Rosenberg, Jamie Jarboe, Andreas Klein, Furha Cossor

“…The increased use of magnetic resonance imaging (MRI) has resulted in reports of incidental abnormal bone marrow (BM) signal. …”
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Ship Target Detection Algorithm Based on Improved YOLOv3 for Maritime Image by Dehai Chen, Shiru Sun, Zhijun Lei, Heng Shao, Yuzhao Wang

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A Total Variation Model Based on the Strictly Convex Modification for Image Denoising by Boying Wu, Elisha Achieng Ogada, Jiebao Sun, Zhichang Guo

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Pose Estimation of Uncooperative Unknown Space Objects from a Single Image by Xiaoyuan Ren, Libing Jiang, Zhuang Wang

“…In contrast to previous works, this paper devotes to estimate the 3D pose of the unknown space object from a single image. Our method estimates not only the pose but also the shape of the unknown object from a single image. …”
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Separable and Error-Free Reversible Data Hiding in Encrypted Image with High Payload by Zhaoxia Yin, Bin Luo, Wien Hong

“…The cover image is partitioned into nonoverlapping blocks and multigranularity encryption is applied to obtain the encrypted image. …”
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Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap! by Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou

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Pseudo 3D Imaging of Dielectric and Magnetic Anomalies from GPR Data by Raffaele Persico, Sergio Negri, Francesco Soldovieri, Elena Pettinelli

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Hybridization State Detection of DNA-Functionalized Gold Nanoparticles Using Hyperspectral Imaging by Richard C. Murdock, Omar A. Khan, Thomas J. Lamkin, Saber M. Hussain, Nancy Kelley-Loughnane

“…Hyperspectral imaging has the unique ability of capturing spectral data for multiple wavelengths at each pixel in an image. …”
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A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods by Cheng Chen, John A. Ozolek, Wei Wang, Gustavo K. Rohde

“…International Journal of Biomedical Imaging…”
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Advancing neutron imaging techniques to highest resolution with fluorescent nuclear track detectors by Abdul Muneem, Junya Yoshida, Takehiko R. Saito, Hiroyuki Ekawa, Masahiro Hino, Katsuya Hirota, Go Ichikawa, Ayumi Kasagi, Masaaki Kitaguchi, Kenji Mishima, Jameel-Un Nabi, Manami Nakagawa

“…Abstract Neutron imaging is a nondestructive and noninvasive inspection technique with a wide range of potential applications. …”
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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

“…Thus, the proposed method is useful for rapidly localizing lung cancer cells based on microscopic images and outputting image interpretation results.…”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…We assess our approach on a dataset of medical images, including magnetic resonance imaging scans, and find that the FL model performs noticeably better (F1 Score = 0.968, Sensitivity = 0.977, Specificity = 0.945, and AUC = 0.950). …”
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NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy by Robert Luke, Robert Oostenveld, Helena Cockx, Guiomar Niso, Maureen J Shader, Felipe Orihuela-Espina, Hamish Innes-Brown, Stephen Tucker, David Boas, Meryem A. Yücel, Remi Gau, Taylor Salo, Stefan Appelhoff, Christopher J. Markiewicz, David McAlpine, The BIDS Maintainers, Luca Pollonini

“…To solve this critical issue, the neuroimaging community created the Brain Imaging Data Structure (BIDS) that specifies standards for how datasets should be organized to facilitate sharing and reproducibility of science. …”
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Selection of geometrical features of nuclei оn fluorescent images of cancer cells by Ya. U. Lisitsa, M. M. Yatskou, V. V. Skakun, P. D. Pavel D. Kryvasheyeu, V. V. Apanasovich

“…The methods of geometric informative features selection of nuclei on fluorescent images of cancer cells are considered. During the survey, a review of existing geometric features was carried out, including both the signs of rotation resisted shape and displacement of the image, as well as signs of location in space. …”
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Recognition of Reconstructed Frontal Face Images Using FFT-PCA/SVD Algorithm by Louis Asiedu, Felix O. Mettle, Joseph A. Mensah

“…This study assessed the performance of Principal Component Analysis with singular value decomposition using Fast Fourier Transform (FFT-PCA/SVD) for preprocessing the face recognition algorithm on left and right reconstructed face images. The study found that average recognition rates for the FFT-PCA/SVD algorithm were 95% and 90% when the left and right reconstructed face images are used as test images, respectively. …”
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Breaching Biological Barriers: Protein Translocation Domains as Tools for Molecular Imaging and Therapy by Benjamin L. Franc, Stefanie J. Mandl, Zurab Siprashvili, Paul Wender, Christopher H. Contag

“…Molecular Imaging…”
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Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method by Sheng-Bo Zhou, Ai-Qin Shen, Geng-Fei Li

“…The aim of the current study lies in the development of a reformative technique of image segmentation for Computed Tomography (CT) concrete images with the strength grades of C30 and C40. …”
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The Image of the Female Politician in the English-speaking Press: Language Representation of Gender Stereotypes by E. S. Ivashova

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Explainable analysis of infrared and visible light image fusion based on deep learning by Bo Yuan, Hongyu Sun, YinJing Guo, Qiang Liu, Xinghao Zhan

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