Phosphatidylserine-Targeted Nanotheranostics for Brain Tumor Imaging and Therapeutic Potential by Lulu Wang MD, PhD, Amyn A. Habib MD, Akiva Mintz MD, PhD, King C. Li MD, Dawen Zhao MD, PhD

“…Molecular Imaging…”
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Possibility for Visualizing the Muscle Microstructure by q-Space Imaging Technique by Yasushi Sera, Daisuke Nakashima, Junichi Hata, Hirotaka James Okano, Kazuki Sato, Masaya Nakamura, Takeo Nagura

“…The study is aimed at determining if q-space imaging (QSI) can reveal the microstructure of muscles in humans. …”
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Optoacoustic lenses for lateral sub-optical resolution elasticity imaging by Mengting Yao, Rafael Fuentes-Domínguez, Salvatore La Cavera, III, Fernando Pérez-Cota, Richard J. Smith, Matt Clark

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Tea Disease Recognition Based on Image Segmentation and Data Augmentation by Ji Li, Chenyi Liao

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Clinical Images: Groove sign: heeding clue to eosinophilic fasciitis by Ran Cui

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Assessment of the usefulness of imaging studies and biomarkers in the activity of Crohn’s disease by Grażyna Piotrowicz, Agnieszka Klufczyńska, Piotr Banaszkiewicz, Łukasz Dorosz, Grażyna Rydzewska

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An Improved Image Processing Based on Deep Learning Backpropagation Technique by Yang Gao, Yue Tian

“…In terms of image processing, encryption plays the main role in the field of image transmission. …”
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Skin Lesion Image Segmentation Algorithm Based on MC-UNet by Guihua Yang, Bingxing Pan

Subjects: “…Dermatoscopic images…”
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Analysis and design of visual secret sharing scheme for gray image by Jian LIU, Yi ZHANG, Yuling LIU, Hao HU

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Image double fragile watermarking algorithm based on block neighborhood by Yilong WANG, Zhenyu LI, Daofu GONG, Fenlin LIU

Subjects: “…image watermarking…”
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Cardiac Magnetic Resonance Imaging in Diagnostics and Cardiovascular Risk Assessment by Patrycja S. Matusik, Katarzyna Mikrut, Amira Bryll, Tadeusz J. Popiela, Paweł T. Matusik

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Adaptive steganography algorithm in digital image based on Arnold transform by Qi LI, Xin LIAO, Guo-qing QU, Guo-yong CHEN, Jiao DU

“…Previous adaptive steganography algorithms were based on ordinal and full-embedding method.However,these algorithms might cause the concealment of secret information not good enough.Therefore,a random and non-fully embedding method was proposed to improve the concealment.The image system parameters could be obtained,so that the image full capacity was exactly greater than the length of information for non-full embedding.Moreover,these parameters made steganography more flexibility by reducing the modifications of image.Then,secret information embedding sequence was scrambled based on Arnold transform for the purpose that the steganalyst cannot detect out information orderly.Therefore,the secret information can be more concealed,which can improve the security of the algorithms.Experimental results show that the algorithm not only improves the concealment of steganography but also reduces stego distortion,and random non-full embedding operating can be applied to many other similar algorithms.…”
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Research on outsourcing of digital image forensics based on privacy preserving by Bing-wen FENG, Jian WENG, Wei LU

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Discriminative, generative artificial intelligence, and foundation models in retina imaging by Paisan Ruamviboonsuk, Niracha Arjkongharn, Nattaporn Vongsa, Pawin Pakaymaskul, Natsuda Kaothanthong

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Image Analysis as a Tool for Estimation of Red Peppers’ Color by Ramesh Babu Natarajan, Ranjith Arimboor

Subjects: “…image analysis: flatbed scanner…”
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Recognition of PQ stego images based on identifiable statistical feature by Ji-cang LU, Fen-lin LIU, Xiang-yang LUO, Yi ZHANG

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Screening Evaporative Dry Eyes Severity Using an Infrared Image by Qing Zhang, Yi Wu, Yilin Song, Guanghao Qin, Lanting Yang, Sumeet Singh Talwar, Tiezhu Lin, Gagan Deep Singh Talwar, Hongda Zhang, Ling Xu, Jonathan E Moore, Emmanuel Eric Pazo, Wei He

“…This observational sex-matched control study assessed IRT images of 184 right eyes (46 normal and 138 DED) of 184 participants. …”
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Molecular Imaging of Stems Cells: In Vivo Tracking and Clinical Translation by Stefania Rizzo, Francesco Petrella, Letterio S. Politi, Ping Wang

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Destination image on the DMO's platforms: official website and social media by Sebastian Molinillo, Francisco Liébana-Cabanillas, Rafael Anaya-Sánchez

Subjects: “…destination image…”
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Advances in Image Generation Technology: Exploring GANs and MirrorGANs by Shi Lewuqiong

“…Image Generation is the backbone of visual computing, mostly utilized in intelligent designs. …”
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