Diagnostic Techniques and Artificial Intelligence for Multiple Sclerosis Identification by Asma Raisi, Mahsa Nasiri, Hajar Danesh

“…Symptoms include muscle weakness, visual disturbances, balance impairments, and incoordination. …”
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Enhancing VINS with Smart Feature Grading: Overcoming Cautious and Excessive Removal of Dynamic Features for Robust Urban Localization by M. Adham, M. Adham, W. Chen, A. Mansour, A. Mansour, M. Mahmoud, M. Mahmoud, Y. Li

“…To address these issues, we propose a novel VINS method that combines visual and inertial information with a smart feature grading module to overcome cautious and excessive dynamic feature removal, effectively handling the complexities of dominant and ambiguous dynamic objects beyond the limitations of traditional DL and vision-based methods. …”
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Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model by Sarah E. Shelton, Jodi Stone, Fei Gao, Donglin Zeng, Paul A. Dayton

“…A reader study was used to assess visual discrimination between image types, and quantitative methods utilized metrics of tortuosity and spatial clustering for tumor detection. …”
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Analysis of Facial Cues for Cognitive Decline Detection Using In-the-Wild Data by Fatimah Alzahrani, Steve Maddock, Heidi Christensen

“…The development of automatic methods for early cognitive impairment (CI) detection has a crucial role to play in helping people obtain suitable treatment and care. …”
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The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…This paper introduces a fast image-processing method to visually identify and detect point scatterers in synthetic aperture imagery using the bright feature transform (BFT). …”
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Virtual pharmacy as a component of the electronic educational environment at the Department of Pharmacology in order to increase the clarity and efficiency of assimilation of educa... by Yu. V. Tuzkova, N. P. Vanchakova

“…A survey of students found high interest in using visual methods and, in particular, a virtual pharmacy. …”
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American graphic Novel: Multimodality and Identity by M. A. Dubovitskaya

“…The graphic novel is considered as a multimodal text — a complex of verbal and visual components. The differences between comics and graphic novels are explained. …”
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Eco-friendly architectural design: Evolving from linear plasticity to sustainable spatial environments by Pankina Marina, Shabalina Natalia

“…In the professional assessment of methods for searching and implementing the artistic image of a unique architectural object, the analysis of the initial stage of its formation is of utmost importance. …”
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Ensuring the Quality of Surgical Instruments with Artificial Intelligence: A Focus on Sternum Wire by Neda HOUSHMANDSHARIFI, Murat Taha BILIŞIK

“…Results: The study revealed that the automated machine vision systems markedly reduced inspection time while achieving an overall accuracy of 96% in detecting needle quality, compared to 80% accuracy with manual inspections. The new AI-driven visual inspection approach significantly outperformed traditional methods, particularly in identifying nuanced and objective defects. …”
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A review on organ deformation modeling approaches for reliable surgical navigation using augmented reality by Zheng Han, Qi Dou

“…Augmented Reality (AR) holds the potential to revolutionize surgical procedures by allowing surgeons to visualize critical structures within the patient’s body. …”
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Two-stage ship detection at long distances based on deep learning and slicing technique. by Yanfeng Gong, Zihao Chen, Jiawan Tan, Chaozhong Yin, Wen Deng

“…Ship detection over long distances is crucial for the visual perception of intelligent ships. Since traditional image processing-based methods are not robust, deep learning-based image recognition methods can automatically obtain the features of small ships. …”
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Vision-Based Drone Detection in Complex Environments: A Survey by Ziyi Liu, Pei An, You Yang, Shaohua Qiu, Qiong Liu, Xinghua Xu

“…Finally, we systematically organize and introduce the commonly used datasets and evaluation metrics and conduct experiment comparisons based on the representative methods. We not only reveal the current development status of visual UAV detection but also analyze the deficiencies in current research. …”
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A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images by Sahar Faraji, Bita Abbasi, Amin Amiri Tehranizadeh, Zeinab Naseri, Lida Jarahi, Fatemeh Khojasteh Rahimi, shahrokh Nasseri, Azadeh Hashemi

“…The AUC-ROC in this model was 0.66, which is better than other methods with large margin. Conclusion: In this study, an evaluation of five different classification methods revealed that all of them exhibited sufficient level of specificity. …”
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Direct closed diaphragm injuries: diagnosis and treatment by E. S. Vladimirova, I. V. Ermolova, F. A. Chernousov, V. G. Kotandzhan, E. B. Nikolaeva, I. E. Popova, O. A. Alekseechkina

“…The leading role in detecting direct blunt diaphragmatic injuries belongs to methods that allow visual assessment of diaphragmatic condition (video-assisted thoracoscopy, video laparoscopy, laparotomy, thoracotomy, autopsy). …”
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Electroencephalography Signal Analysis: Classification Techniques and Applications by Iosif-Beniamin GOGA

“…This study explored EEG signal processing and classification techniques, focusing on applications driven by visual stimuli. The main focus of the study is the use of visually evoked potentials (VEPs) and steady-state visual evoked potentials (SSVEPs), which are widely used in BCI applications. …”
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OWL model of multi-agent Smart-system of distance learning for people with vision disabilities by Galina A. Samigulina, Asem S. Shayakhmetova, Adlet Nyusupov

“…The aim of the study is to develop an ontological model of multiagent smart-system of distance learning for visually impaired people based on Java Agent Development Framework for obtaining high-quality engineering education in laboratories of join use on modern equipment.Materials and methods of research. …”
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Grading Ornamental Fish by Tina C. Crosby, Jeffrey E. Hill, Carlos V. Martinez, Craig A. Watson, Roy P. Yanong

“…Yanong, describes how fish can be visually inspected for quality during and after harvest. …”
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Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement by Jianfeng Zhang, Hengxuan Li, Zhanqiang Huo

“…Unsupervised methods are gradually becoming a research hotspot in low-light image enhancement due to their lack of paired training data and higher quality visual enhancement effects, but existing unsupervised low-light image enhancement methods generate excess noise and rely on contrast exposure stacks. …”
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Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder by Kyle A. Hasenstab, Lewis Hahn, Nick Chao, Albert Hsiao

“…Visual analysis of changes in these sequences then facilitates the interpretation of features, thereby improving explainability. …”
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SOPROLIFE System: An Accurate Diagnostic Enhancer by Mona Zeitouny, Mireille Feghali, Assaad Nasr, Philippe Abou-Samra, Nadine Saleh, Denis Bourgeois, Pierre Farge

“…Compared to the most used visual method in the diagnosis of occlusal caries lesions, the finding from this study suggests that SOPROLIFE can be used as a reproducible and reliable assessment tool. …”
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