ChestX-Transcribe: a multimodal transformer for automated radiology report generation from chest x-rays by Prateek Singh, Sudhakar Singh

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Printed circuit board recycling: a focus on a novel, efficient and sustainable process for spent critical metals recovery by Charpentier, Nicolas M., Xia, Dong, Gabriel, Jean-Christophe P.

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CryoEM structure and small-angle X-ray scattering analyses of porcine retinol-binding protein 3 by Vineeta Kaushik, Luca Gessa, Nelam Kumar, Matyáš Pinkas, Mariusz Czarnocki-Cieciura, Krzysztof Palczewski, Jiří Nováček, Humberto Fernandes

“…In this study, we present a 3.67 Å cryoEM structure of porcine RBP3, along with molecular docking analysis and corroborative in-solution small-angle X-ray scattering data for titration of RBP3 with relevant ligands, that also give insights on RBP3 conformational adaptability.…”
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Detection of COVID-19 Using a Pre-trained CNN Model Over Chest X-ray Images by Mohammadreza Behnia, Touba Torabipour, Safieh Siadat

“…In order to detect this disease, deep learning algorithms and machine vision are widely used by computer scientists. Convolutional neural networks (CNN), DenseNet121, Resnet50, and VGG16 were used in this study for the detection of Covid-19 in X-ray images. …”
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AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol by Fergus Gleeson, Alex Novak, Indrajeet Das, Ruchir Shah, Edwin van Beek, Sarim Ather, Howell Fu, Nabeeha Salik, Alan Campbell, Farhaan Khan, Abdala Trinidad Espinosa Morgado, Marusa Kotnik, Louise Wing, John Murchison, Jong Seok Ahn, Sang Hyup Lee, Ambika Seth

“…Introduction A chest X-ray (CXR) is the most common imaging investigation performed worldwide. …”
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The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic by M. Poongodi, Mohit Malviya, Mounir Hamdi, Hafiz Tayyab Rauf, Seifedine Kadry, Orawit Thinnukool

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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

“…To address these challenges, we propose the AFM-DViT model, which integrates adaptive federated learning with Vision Transformer, significantly enhancing diagnostic accuracy and efficiency in IoT-based settings. …”
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Improving the segmentation of the vertebrae using a multi-stage machine learning algorithm by Vladyslav Koniukhov

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Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…Modern algorithms of computer vision equaled and even in some problems surpassed human capabili es. …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Intraocular Lens Opacification following Intracameral Injection of Recombinant Tissue Plasminogen Activator to Treat Inflammatory Membranes after Cataract Surgery by Simon S. M. Fung, Evripidis Sykakis, Niaz M. Islam, Hadi J. Zambarakji, Ramin Khoramnia, Gerd U. Auffarth, Dipak N. Parmar

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Endowing single-crystal polymers with circularly polarized luminescence by Zhong-Qiu Li, Li Meng, Zili Chen, Yu-Wu Zhong

“…The single-crystal-to-single-crystal (SCSC) photopolymerization is revealed by in situ powder X-ray diffraction, single-crystal X-ray, optical microscopy, infrared, circular dichroism, and CPL spectroscopic analyzes. …”
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Vitreous Hemorrhage following High-Altitude Retinopathy by Arjun Shrestha, Rinkal Suwal, Biju Shrestha

“…An apparently healthy 29-year-old boy presented with a history of floater and slight diminution of vision in the left eye after climbing the mountain 4760 meters high. …”
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Frequency multiplexed photothermal correlation tomography for non-destructive evaluation of manufactured materials by Pengfei Zhu, Rongbang Wang, Koneswaran Sivagurunathan, Stefano Sfarra, Fabrizio Sarasini, Clemente Ibarra-Castanedo, Xavier Maldague, Hai Zhang, Andreas Mandelis

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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis by Hajar Moradmand, Lei Ren

“…This study proposes a multistage deep learning model to predict the Overall Sharp Score (OSS) from hand X-ray images. The framework involves four stages: image preprocessing, hand segmentation with UNet, joint identification via YOLOv7, and OSS prediction utilizing a custom Vision Transformer (ViT). …”
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Studies on the electrical and optical conductivity of barium-nickel ferrite nanoparticles doped with Zn by Sadiq H. Khoreem, A. H. AL-Hammadi

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Comprehensive Ultrasound Diagnosis of Sigmoid Diverticulitis by A. I. Кoushnerou, I. A. Hadji-Ismail, A. V. Vorobei, S. I. Rudenka

“…We used the HD15 (Philips, the Netherlands), HS 60 (Samsung, South Korea) and Hi Vision Preirus (Hitachi, Japan) ultrasound instruments equipped with convex and intracavitary microconvex 2–12 MHz linear transducers. …”
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Quality of Cattle Meat and Its Compositional Constituents by Umer Seid Geletu, Munera Ahmednur Usmael, Yesihak Yusuf Mummed, Abdulmuen Mohammed Ibrahim

“…Other methods such as computer vision and imaging spectroscopy, gas chromatographic analysis, near-infrared technology, dual-energy X-ray absorptiometry, and computerized tomography scanning are also used in the meat industry. …”
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Preparation and physicochemical/antimicrobial characteristics of asparagus cellulose films containing quercetin by Tao Jin, Ling Yan, Wei Liu, Shuai Liu, Changhong Liu, Lei Zheng

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Untreated Active Tuberculosis in Pregnancy with Intraocular Dissemination: A Case Report and Review of the Literature by Shadi Rezai, Stephen LoBue, Daniel Adams, Yewande Oladipo, Ramses Posso, Tiffany Mapp, Crystal Santiago, Manisha Jain, William D. Marino, Cassandra E. Henderson

“…Patient also complained of a productive cough for the past 3 to 4 months with a decrease in vision occurring with the start of pregnancy. Visual acuity was worse than 20/200 in both eyes. …”
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