Neural fields for 3D tracking of anatomy and surgical instruments in monocular laparoscopic video clips by Beerend G. A. Gerats, Jelmer M. Wolterink, Seb P. Mol, Ivo A. M. J. Broeders

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Automated Quality Control of Cleaning Processes in Automotive Components Using Blob Analysis by Simone Mari, Giovanni Bucci, Fabrizio Ciancetta, Edoardo Fiorucci, Andrea Fioravanti

“…This study presents an automated computer vision system for assessing the cleanliness of plastic mirror caps used in the automotive industry after a washing process. …”
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Player versus Player: A systematic review of cyberbullying in multiplayer online games by Hu Yunhao, Evelyn Sophie, Clancy Elizabeth M., Klettke Bianca

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OPPORTUNITIES FOR EARLY OUTPATIENT DIAGNOSTICS OF OBSTRUCTIVE SLEEP DISORDERED BREATHING by V. N. Larina, T. N. Mironova, E. M. Elfimova, T. A. Alekseeva, I. V. Starostin, V. P. Sidorova, A. Yu. Litvin

“…Aim. To evaluate the prevalence of possible obstructive respiratory disorder during sleep in outpatients by the data from computed monitoring pulse oxymetry (CPO) and questionnaires.Material and methods. …”
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Pulmonary hemorrhage in oncologic patients – a diagnostic algorithm by R. S. Kiselev, E. A. Tarabrin, Z. G. Berikkhanov, V. A. Savelieva, Yu. V. Kutilin, M. Yu. Ivanova

“…Routine diagnostic methods of investigation, such as chest radiography, chest computed tomography (including with contrast enhancement), fibrotracheobronchoscopy, bronchial arteriography were evaluated.RESULTS. …”
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Solitary fibrous tumors: radiologic features with clinical and histopathologic correlation by Ying Xiao, Jiaer Chen, Wenbin Yang, Hongfei Yan, Ruowei Chen, Yangkang Li

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Coverage estimation of benthic habitat features by semantic segmentation of underwater imagery from South-eastern Baltic reefs using deep learning models by Andrius Šiaulys, Evaldas Vaičiukynas, Saulė Medelytė, Kazimieras Buškus

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Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…In the swiftly transforming domain of computational science, the incorporation of sophisticated machine learning algorithms has emerged as a critical driver in addressing these challenges. …”
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Ulcerative Severity Estimation Based on Advanced CNN–Transformer Hybrid Models by Boying Nie, Gaofeng Zhang

“…Experiments show that the CoAtNet model, which integrates convolutional and transformer components, improves UC assessment from endoscopic images, enhancing AI’s role in computer-aided diagnosis.…”
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Quantitative assessment of the ischemic damage to the brain parenchyma in patients with acute cerebrovascular accident using the Olea Sphere automated software by E. P. Yasakova, E. G. Shevchenko, V. V. Efimov, E. I. Zyablova

“…Objective: To evaluate the capabilities of the Olea Sphere automated software for the quantitative assessment of ischemic damage to the brain parenchyma during computed tomography (CT) in patients with acute cerebrovascular accident and its role in choosing the optimal treatment strategy in everyday clinical practice.Materials and methods: We retrospectively analyzed the data from 129 patients with suspected stroke who underwent perfusion CT within 24 hours of admission to the hospital. …”
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Novel 3-dimensional classification of cervical abrasion using CBCT: A comprehensive analysis by Tarun Kumar Singh, Ashish J. Johnson, Aakash Gupta, Ikroop Gill

“…The height (A), buccolingual dimension (B), circumferential spread (C), and remaining dentine thickness (D) were evaluated and classified using new scoring criteria for each dimension. …”
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BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding by Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan

“…This research demonstrates that BCINetV1 is computationally efficient, extracts clinically vital markers, effectively handles the non-stationarity of EEG data, and shows a clear advantage over existing methods, marking a significant step forward for practical BCI applications.…”
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Concordance of diagnostic tests, ultrasound of urinary tract versus non-contrast CT in urolithiasis in a four-level center in Bogotá, Colombia by Hugo López, Juliana Arenas, María P. Torres, Alejandra Niño-Alarcón

“…Objective: In the approach and diagnosis of urinary stone disease, computed tomography (CT)-scan with a focus on the urinary tract is the gold standard. …”
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Enhancing chronic wound assessment through agreement analysis and tissue segmentation by Ana C. Morgado, Rafaela Carvalho, Ana Filipa Sampaio, Maria J. M. Vasconcelos

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Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution by Guanghai Ji, Fei Liu, Zhiqiang Chen, Jie Peng, Hao Deng, Sheng Xiao, Yun Li

“…Abstract Objective The study aimed to evaluate the application value of computed tomography (CT) three-dimensional (3D) reconstruction technology in identifying benign and malignant lung nodules and characterizing the distribution of the nodules. …”
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CT imaging features and diagnostic algorithm for hepatic cystic echinococcosis by Hao Zhang, Li Zhang, Chi Zhang, Yan-hao Zhu, Yi-en Hong, Lin Li, Li Lai

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Markerless Video-Based Gait Analysis in People With Multiple Sclerosis by Matteo Moro, Giorgia Marchesi, Maria Cellerino, Giacomo Boffa, Francesca Odone, Matilde Inglese, Maura Casadio

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Clinical application of optical and electromagnetic navigation system in CT-guided radiofrequency ablation of lung metastases by Zenan Chen, Liangliang Meng, Yueyong Xiao, Jing Zhang, Xiaobo Zhang, Yingtian Wei, Xiaofeng He, Xin Zhang, Xiao Zhang

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Development and validation of a clinical-radiomics nomogram for the early prediction of Klebsiella pneumoniae liver abscess by Li Gu, Tao Ai, Qing Ye, Yihang Wang, Han Wang, Dong Xu

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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The reduced operation time in methods for comparing texts in dyslalia cases is attributed to the absence of text array variations, with evaluations solely focusing on potential permutations of sounds. …”
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