KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion by Wei Li, Lu Li, Man Peng, Ran Tao

Subjects: “…image fusion…”
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PENGARUH E-WOM DAN BRAND IMAGE INSTAGRAM TMII JAKARTA TERHADAP KEPUTUSAN BERKUNJUNG by Del Malia Sudarno Putri, NPE. Mahadewi, Putu Agus Wikanatha Sagita

“…This study aims to determine the effect of electronic word of mouth and brand image on the decision to visit domestic tourists to Taman Mini Indonesia Indah. …”
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Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance by Irena Josephina Johanna Muffels, Hans R. Waterham, Giuseppina D’Alessandro, Guido Zagnoli-Vieira, Michael Sacher, Dirk J. Lefeber, Celine Van der Vinne, Chaim M. Roifman, Koen L. I. Gassen, Holger Rehmann, Desiree Y. Van Haaften-Visser, Edward S. S. Nieuwenhuis, Stephen P. Jackson, Sabine A. Fuchs, Femke Wijk, Peter van Hasselt

Subjects: “…Imaging flow cytometry…”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

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Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images by Naseeb Singh, Ashish Kumar Singh, L. K. Dhruw, Simardeep Kaur, S. Hazarika, K. K. Mishra, V. K. Mishra, Laxmi Kant

“…Current methods of nematode identification are labour‐intensive, time‐consuming, and prone to false positives, thus necessitating the development of an intelligent system for their identification from microscopic images without technical assistance. In this study, a novel approach was investigated for the identification of nematodes from microscopic images. …”
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In Vivo Bioluminescence Imaging of Transplanted Mesenchymal Stem Cells as a Potential Source for Pancreatic Regeneration by Song Lee, Hyewon Youn, Taemoon Chung, Do Won Hwang, So Won Oh, Keon Wook Kang, June-Key Chung, Dong Soo Lee

“…Molecular Imaging…”
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Normal and Abnormal Masses Detection in Mammography Images Using Deep Convolutional Neural Network (DCNN) by Farnaz Hoseini, Hamed Sepehrzadeh

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Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect by Qikui Zhu, Bo Du, Baris Turkbey, Peter Choyke, Pingkun Yan

“…Segmentation of the prostate from Magnetic Resonance Imaging (MRI) plays an important role in prostate cancer diagnosis. …”
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Automated Blood Cell Detection and Classification in Microscopic Images Using YOLOv11 and Optimized Weights by Halenur Sazak, Muhammed Kotan

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Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images by Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Mohamed Ben Ammar, Monji Kherallah

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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…A semi supervised image classification method for satellite images is proposed in this paper. …”
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Multichannel Enhanced Millimeter-Wave SAR Imaging via Low-Rank Tensor-Train Decomposition by Bangjie Zhang, Gang Xu, Xiang-Gen Xia, Jianlai Chen, Rui Zhou, Shuai Shao, Wei Hong

“…First, the multichannel images are stacked into a tensor form after SAR imaging on individual channels and spatial variant array phase correction for each pixel. …”
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Studi Literatur Penggunaan Smartphone-based Thermal Imaging dalam Pengkajian Perfusi Vascular Perifer by Syafa’atun Mirzanah, Rr.Tutik Sri Hariyati

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Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System by Venkata Kanaka Srivani Maddala, K. Jayarajan, M. Braveen, Ranjan Walia, Patteti Krishna, Sivakumar Ponnusamy, Karthikeyan Kaliyaperumal

“…Many approaches for crop yield prediction were analyzed by countries using remote sensing data, but the information obtained was less successful due to insufficient data gathered due to climatic variables and poor image resolution. As a result, current crop yield estimation methods are obsolete and no longer useful. …”
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High-Resolution Imaging of Patients with Bietti Crystalline Dystrophy with CYP4V2 Mutation by Kiyoko Gocho, Shuhei Kameya, Keiichiro Akeo, Sachiko Kikuchi, Ayumi Usui, Kunihiko Yamaki, Takaaki Hayashi, Hiroshi Tsuneoka, Atsushi Mizota, Hiroshi Takahashi

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Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images by Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland

“…International Journal of Biomedical Imaging…”
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Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study by Qiuhong Lu, Shunzu Lu, Xue Wang, Yanlan Huang, Jie Liu, Zhijian Liang

Subjects: “…Neurite orientation dispersion and density imaging…”
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Protocol for generating and characterizing a nasal epithelial model using imaging with application for respiratory viruses by Victor H.K. Lam, Aleena Ghafoor, Yazan Khan, Shirley Constable, Lane B. Buchanan, David Zuanazzi, Reeya Parmar, Zeynep G. Tepe, Leigh J Sowerby, Cindy M. Liu, Ryan M. Troyer, Jessica L. Prodger

“…We describe steps to overcome challenges of imaging fragile cultures, detect the production of mucus, and quantify intracellular virus post-SARS-CoV-2 infection. …”
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Analysis of Progress and Challenges of EGFR-Targeted Molecular Imaging in Cancer With a Focus on Affibody Molecules by Weizhi Chen MD, Baozhong Shen MD, PhD, Xilin Sun PhD

“…Molecular Imaging…”
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Reduction of Image Artifacts in Mice by Bladder Flushing with a Novel Double-Lumen Urethral Catheter by Chad R. Haney, Adrian D. Parasca, Kazuhiro Ichikawa, Benjamin B. Williams, Martyna Elas, Charles A. Pelizzari, Howard J. Halpern

“…Molecular Imaging…”
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