Machine Learning Recognizes Stages of Parkinson’s Disease Using Magnetic Resonance Imaging by Artur Chudzik

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Adaptive Elastic GAN for High-Fidelity Blood Cell Image Hallucination and Classification by Issac Neha Margret, K. Rajakumar

“…This study presents a novel semi-supervised Elastic Generative Adversarial Network that enhances classification accuracy, improves synthetic image generation quality, and reduces computational complexity. …”
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Nonrigid Multimodal Registration Based on Fuzzy Inference System for Retinal Image Registration by Monire Sheikh Hosseini, Hossein Rabbani

“…However, the integration of information from these modalities, which often have differing resolutions, requires effective image registration techniques. Existing retinal image registration methods typically rely on rigid or affine transformations, which may not adequately address the complexities of multimodal retinal images. …”
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Land Target Detection Algorithm in Remote Sensing Images Based on Deep Learning by Wenyi Hu, Xiaomeng Jiang, Jiawei Tian, Shitong Ye, Shan Liu

“…A critical aspect of remote sensing image analysis is land target detection, which involves identifying and classifying land-based objects within satellite or aerial imagery. …”
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Applying neural networks in coordinated group signal transformation to improve image quality by E.A. Lopukhova, G.S. Voronkov, I.V. Kuznetsov, V.V. Ivanov, R.V. Kutluyarov, A.Kh. Sultanov, E.P. Grakhova

“…The rapid development of the Internet of Things and wireless sensor networks combined with the introduction of image analysis systems and computer vision technologies has led to the emergence of a new class of systems – multimedia Internet of Things and multimedia wireless sensing networks. …”
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ENHANCED POLSAR IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL AND TEMPORAL CONVOLUTIONAL NETWORKS by Batool Anwar, Mohamed M. Morsey, Islam Hegazy, Zaki T. Fayed, Taha El-Arif

“…This integrated framework is thus a significant advancement in PolSAR image analysis in offering an efficient methodology that combines the strengths of deep CNNs and traditional ML, by mitigating their respective limitations. …”
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Experimental study on seepage characteristics model of tunnel lining based on infrared imaging by Zhijian Wu, Hua Wu, Yichen Peng, Renjie Song, Yimin Wu, Haiping Wu, Guangzheng Zhuang

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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…In this paper, an in-depth study and analysis of attribute modelling and knowledge acquisition of massive images are conducted using image recognition. …”
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The performance of ChatGPT on medical image-based assessments and implications for medical education by Xiang Yang, Wei Chen

“…In addition, we explored the application of these models in case-based teaching scenarios involving medical images. Results A total of 38 image-based questions spanning multiple medical disciplines—including dermatology, cardiology, and gastroenterology—were included in the analysis. …”
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A Deep Learning-Based Approach for Cell Segmentation in Phase-Contrast Images by Basma A. Mohamed, Nancy M. Salem, Walid Al-Atabany, Lamees N. Mahmoud

“…Cell segmentation in Phase-Contrast (PhC) microscopy is crucial for non-invasive analysis of live-cell imaging data. However, traditional segmentation methods often struggle with challenges such as low contrast, overlapping cells, and artifacts that are unique to PhC imaging. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

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Multimodal fusion image enhancement technique and CFEC-YOLOv7 for underwater target detection algorithm research by Xiaorong Qiu, Yingzhong Shi

“…The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing to meet the needs of underwater environment detection. …”
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A high precision method of segmenting complex postures in Caenorhabditis elegans and deep phenotyping to analyze lifespan by Bingyue Dong, Weiyang Chen

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RETRACTED ARTICLE: Structure based innovative approach to analyze aptaprobe–GPC3 complexes in hepatocellular carcinoma by Woo-Ri Shin, Dae-Young Park, Ji Hun Kim, Jin-Pyo Lee, Nguyen Quang Thai, In-Hwan Oh, Simranjeet Singh Sekhon, Wooil Choi, Sung Yeon Kim, Byung-Kwan Cho, Sun Chang Kim, Jiho Min, Ji-Young Ahn, Yang-Hoon Kim

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Synthesis, Structural Characterization, Luminescent Properties, and Antibacterial and Anticancer Activities of Rare Earth-Caffeic Acid Complexes by Nguyen Thi Hien Lan, Hoang Phu Hiep, Tran Van Quy, Pham Van Khang

“…The complexes, formulated as Ln(Caf)₃·4H₂O, were characterized using infrared spectroscopy (IR), thermogravimetric analysis (TGA/DTA), mass spectrometry (MS), and fluorescence spectroscopy. …”
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Enhancing the Drug Release and Physicochemical Properties of Rivaroxaban via Cyclodextrin Complexation: A Comprehensive Analytical Approach by Cristina Solomon, Valentina Anuța, Iulian Sarbu, Emma Adriana Ozon, Adina Magdalena Musuc, Veronica Bratan, Adriana Rusu, Vasile-Adrian Surdu, Cătălin Croitoru, Abhay Chandak, Roxana Mariuca Gavriloaia, Teodora Dalila Balaci, Denisa Teodora Niță, Mirela Adriana Mitu

“…<b>Methods</b>: The physicochemical properties of the individual compounds and the three lyophilized complexes were analysed using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD), and thermogravimetric analysis (TGA). …”
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Accessory spleens, mixed hiatal hernia, and incisional hernias: a complex case of multidisciplinary surgical management by Hamdah Hanifa, Mohi Alddin Moustafa Mahouk, Fadiah Hazem Albaroudi, Enas Saleem Khallouf, Dana Abu Nokta, Ranim Alrihani, Basil Alsaleh, Youssef Zeeb, Ramez Altair, Malek AlBalkhi, Rawad Asami, Abdullah Shekh Najjaren

“…Postoperatively, the patient stabilized, discharged with a liquid diet and medications. Histopathological analysis confirmed benign findings, emphasizing successful complex abdominal condition management. …”
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Two novel mutations in TBC1D32 add complexity to the oro-facial-digital syndrome by Belén García-Bohórquez, Purificación Marín-Reina, Elena Aller, Pilar Barberán-Martínez, Miguel Armengot, Roberto Llorens-Salvador, Inmaculada Concepción Almor-Palacios, José M. Millán, Gema García-García

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The influence of venous blood flow on the retinal ganglion cell complex in patients with primary open angle glaucoma by N. I. Kurysheva, T. N. Kiseleva, P. K. Ryzhkov, A. V. Fomin, N. A. Khodak, T. D. Ardzhevnishvili

“…Ocular blood flow was measured by Color Doppler Imaging (multifunctional VOLUSON 730 ProSystem). The statistical analysis included correlation between GCC and RNFL thickness in both glaucoma groups.Results: The results showed a statistically significant reduction of venous blood flow velocity in both glaucoma groups compared to the control group. …”
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A PTK7/Ror2 Co-Receptor Complex Affects Xenopus Neural Crest Migration. by Martina Podleschny, Anita Grund, Hanna Berger, Erik Rollwitz, Annette Borchers

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