Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain by Manish Kumar, Aneesh Sreevallabh Chivukula, Gunjan Barua

“…Abstract The motivation for this article stems from the fact that medical image security is crucial for maintaining patient confidentiality and protecting against unauthorized access or manipulation. …”
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Friendship, admiration, or hatred? The image of the united provinces in the travel diaries of the Czech nobility (1650-1750) by Jiří Kubeš

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A pilot study comparing three-dimensional models of tumor histopathology and magnetic resonance imaging by Anne Koivuholma, Heli J. Sistonen, Katri Aro, Antti Mäkitie, Jaana Hagström, Timo Atula

“…This has become an everyday tool especially in medical imaging. However, modeling soft tissue histopathology in 3D is in its early stages, thus making 3D comparison between radiology and histopathology difficult. …”
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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…Convolutional neural networks are extensively used in RSSC tasks, where convolution focuses more on the high-frequency components of the image. Unlike convolution, transformer can model long-distance feature dependencies and mine contextual information in remote sensing scene images. …”
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Liquid-based cytological diagnosis of pancreatic neuroendocrine tumors using hyperspectral imaging and deep learning by Taojing Ran, Wei Huang, Xianzheng Qin, Xingran Xie, Yingjiao Deng, Yundi Pan, Yao Zhang, Ling Zhang, Lili Gao, Minmin Zhang, Dong Wang, Yan Wang, Qingli Li, Chunhua Zhou, Duowu Zou

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Comparison of deep transfer learning models for classification of cervical cancer from pap smear images by Harmanpreet Kaur, Reecha Sharma, Jagroop Kaur

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Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients by Jiahui Zheng, Chengfang Wang, Xiaoyu Zhou, Yu Tang, Lin Tang, Yong Tan, Jing Zhang, Hong Yu, Jiuquan Zhang, Daihong Liu

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Land cover classification of high-resolution remote sensing images based on improved spectral clustering. by Song Wu, Jian-Min Cao, Xin-Yu Zhao

“…Applying unsupervised classification techniques on remote sensing images enables rapid land cover classification. Using remote sensing imagery from the ZY1-02D satellite's VNIC and AHSI cameras as the basis, multi-source feature information encompassing spectral, edge shape, and texture features was extracted as the data source. …”
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The Role of Imaging in Patient Selection, Preoperative Planning, and Postoperative Monitoring in Human Upper Extremity Allotransplantation by Eira S. Roth, David G. Buck, Vijay S. Gorantla, Joseph E. Losee, Daniel E. Foust, Cynthia A. Britton

“…To describe the role of imaging in vascular composite allotransplantation based on one institution’s experience with upper extremity allotransplant patients. …”
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Use of Tetra-ammonium Tetrakis(4-Sulphonato)Phenyl Porphyrin for Pseudomonas and Bacillus Cell Imaging by V. Sujatha, Bharat Sridhar, Srinath Krishnamurthy, K. S. Vinod Kumar, K. Senthil Kumar, Pennathur Gautam

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Monitoring Steady Flow Effects on Cell Distribution in Engineered Valve Tissues by Magnetic Resonance Imaging by Catalina Martinez, Angela Henao, Jose E. Rodriguez, Kyle R. Padgett, Sharan Ramaswamy

“…Molecular Imaging…”
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Evaluation of Associated Structural and Chromosomal Abnormalities in Patients with Fetal Cerebral Ventriculomegaly Detected in Ultrasonographic Imaging by Erkan Cagliyan, Samican Ozmen, Sureyya Saridas Demir, Ceren Aydin, Egehan Bilen, Handan Guleryuz, Elif Yasar, Derya Ercal, Elcin Bora, Tufan Cankaya

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CalciumZero: a toolbox for fluorescence calcium imaging on iPSC derived brain organoids by Xiaofu He, Yian Wang, Yutong Gao, Xuchen Wang, Zhixiong Sun, Huixiang Zhu, Kam W. Leong, Bin Xu

Subjects: “…Calcium imaging…”
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A Multimedia Learning for Chinese Character Image Recognition via Human-Computer Interaction Network by Zhenhua Dai, Jie Yang

“…As science and technology continue to develop, Chinese character image recognition technology is being used in a wide range of fields. …”
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Second harmonic generation imaging reveals entanglement of collagen fibers in the elephant trunk skin dermis by Andrew K. Schulz, Magdalena Plotczyk, Sophia Sordilla, David C. A. Gaboriau, Madeline Boyle, Krishma Singal, Joy S. Reidenberg, David L. Hu, Claire A. Higgins

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Key success factors on loyalty of festival visitors: the mediating effect of festival experience and festival image by Ali Dalgiç, Kemal Birdir

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Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality by Biying Fu, Naser Damer

“…Towards investigating this theory, this work provides an extensive analysis of the effect of morphing on face image quality, including both general image quality measures and face image utility measures. …”
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A shallow convolutional neural network for cerebral neoplasm detection from magnetic resonance imaging by Hossein Sadr, Zeinab Khodaverdian, Mojdeh Nazari, Mohammad Yamaghani

“…One prominent approach in this area is the use of Convolutional Neural Networks (CNNs), which excel in extracting significant features from medical images. These features are then used to classify Magnetic Resonance Imaging (MRI) scans, determining the presence of neural tumors. …”
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Analysis and Evaluation of Ecological Environment Monitoring Based on PIE Remote Sensing Image Processing Software by Xiaofeng Wang, Zhengran Wang

“…With the continuous improvement of people’s demand for ecological environment quality, the research on ecological environment monitoring, analysis and evaluation had been paid more and more attention by relevant departments and personnel. Because the images collected by remote sensing technology were many and multi-source, the features extracted from remote sensing images using traditional methods had been difficult to meet the needs of related industry applications. …”
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Magnetic Resonance Imaging of the Small Bowel in Crohn’s Disease: A Systematic Review and Meta-Analysis by Osman Ahmed, David Mario Rodrigues, Geoffrey C. Nguyen

“…In regard to detecting stenosis, pooled sensitivity was 0.65 (95% CI 0.53 to 0.76) and specificity was 0.93 (95% CI 0.89 to 0.96). Conclusion. MR imaging provides a reliable alternative in detecting small bowel activity in patients with Crohn’s disease. …”
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