Showing 821 - 840 results of 1,153 for search 'instance detection', query time: 0.18s Refine Results
  1. 821
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  3. 823

    Exploring Generative Adversarial Network-Based Augmentation of Magnetic Resonance Brain Tumor Images by Mahnoor Mahnoor, Oona Rainio, Riku Klén

    Published 2024-12-01
    “…In particular, the earlier literature suggests that the classification accuracy of a convolutional neural network (CNN) used for detecting brain tumors in magnetic resonance imaging (MRI) images increases when GAN-generated images are included in the training data together with the original images. …”
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  4. 824
  5. 825

    Endometrial polyps with bizarre stromal cells: a Benign or a low-grade lesion? by Musen Wang, Fei Gao, Hongkai Zhang, Wenxin Zheng

    Published 2025-02-01
    “…Case presentation We describe a rare instance of a rapid enlarging endometrial polyp characterized by atypical stromal cells in a 76-year-old postmenopausal woman, who presented with vaginal bleeding. …”
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  6. 826
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    Machine Learning-Based Classification and Statistical Analysis of Liver Cancer: A Comprehensive Study of Model Performance and Clinical Significance by Pratyush Kumar MAHARANA, Tapan Kumar BEHERA, Pradeep Kumar NAIK

    Published 2024-12-01
    “…Results: The dataset comprised 12 instances, and across all the models tested, we utilized the extra tree classifier for the early detection of liver cancer, achieving a notable accuracy of 85.8%. …”
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  9. 829

    First Isolation and Characterization of Three Strains of Porcine Sapelovirus in Yunnan Province, China by Pei Zhu, Zhanhong Li, Zhuoran Li, Li Meng, Peng Liu, Xiutao Sun, Qi Yang, Jianling Song

    Published 2025-03-01
    “…In order to investigate the causes of swine diarrhea in Yunnan Province, this study was conducted to detect and monitor diarrhea viruses through regular sampling and reverse transcription polymerase chain reaction (RT-PCR). …”
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    Observations of ionospheric disturbances via U-shaped traces on ionograms by O. A. Laryunin

    Published 2019-09-01
    “…It is known that the parameters of the ionospheric layers can significantly vary both before and after an earthquake, and such deviations are detectable from ionosonde data. Recent observations show that the effects from an earthquake can occur at large distances from the epicenter.For instance, soundings in the Irkutsk region detected the anomalies that occurred several dozens of minutes after the main shock of the 11.03.2011 earthquake in Japan. …”
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  12. 832

    gLinDA: A privacy-preserving, swarm learning toolbox for differential abundance analysis of microbiomes by Leon Fehse, Mohammad Tajabadi, Roman Martin, Hajo Holzmann, Dominik Heider

    Published 2025-01-01
    “…Differential abundance analysis (DAA) can detect significant changes between groups of patients. …”
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  13. 833

    Generalizing location-centric variations to enhance contactless human activity recognition by Fawad Khan, Syed Yaseen Shah, Jawad Ahmad, Alanoud Al Mazroa, Adnan Zahid, Muhammed Ilyas, Qammer Hussain Abbasi, Syed Aziz Shah

    Published 2025-06-01
    “…Contactless Human Activity Recognition (HAR) has played a critical role in smart healthcare and elderly care homes to monitor patient behavior, detect falls or abnormal activities in real time. …”
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  14. 834

    Computed tomography in terms of thoracic outlet syndrome diagnosis by L. A. Titova, A. A. Gridsay, E. M. Tolstykh, S. I. Marks, N. V. Ischenko, M. V. Anisimov, A. Yu. Goncharova, I. A. Baranov, L. A. Haetskaya

    Published 2025-06-01
    “…These include radiography to detect bone abnormalities, ultrasound with Doppler to assess blood flow, MRI to assess soft tissue structures, and CT angiography, which is the "gold standard" for diagnosing vascular forms of TOS.In the presented case, dynamic CT angiography revealed a rare instance of bilateral TOS in a patient with a long-standing history of shoulder girdle pain, caused by clavicular hyperostosis, dynamic subclavian vein compression, chronic thrombosis signs.TOS requires comprehensive diagnostics with advanced imaging. …”
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  15. 835

    Expanding barriers: Impassable gaps interior to distribution of an isolated mountain‐dwelling species by Erik A. Beever, Adam B. Smith, David Wright, Tom Rickman, Francis D. Gerraty, Joseph A. E. Stewart, Alisha Gill, Kelly Klingler, Megan Robinson

    Published 2025-06-01
    “…For instance, gaps in species' distributions may reflect long‐standing patterns, recent shifts, or merely insufficient sampling effort. …”
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  16. 836

    Radial Flow Component of Sun’s High-frequency Retrograde Inertial Waves by Chris S. Hanson, Vivek Menon, Shravan Hanasoge, Katepalli R. Sreenivasan

    Published 2025-01-01
    “…The fulfillment of this potential requires an accurate identification and characterization of these modes. Among the set of detected inertial modes, the equatorially antisymmetric “high-frequency retrograde” (HFR) modes has attracted special interest because numerical studies have suggested that they are not purely toroidal, as initial observations suggested, and predicted that they would possess a significant radial flow signal at depth. …”
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  17. 837

    Genomic context determines the effect of DNA methylation on gene expression in the gut epithelium of Atlantic salmon (Salmo salar) by Aikaterini Katirtzoglou, Søren B. Hansen, Harald Sveier, Michael D. Martin, Jaelle C. Brealey, Morten T. Limborg

    Published 2024-12-01
    “…Assuming epigenetic signals might be pronounced between distinctive phenotypes, we compared large and small fish, finding 22 significant associations between 22 differentially methylated regions and 21 genes. We did not detect significant methylation differences between large and small fish. …”
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  18. 838

    Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

    Published 2025-06-01
    “…A key benefit could be the possibility of using transfer learning, that is XML models trained in one domain might be adapted for use in another with limited data. For instance, if common aspects of criticality in neuroscience and cosmology are identified, an algorithm trained on brain data could be repurposed to detect critical states in cosmic systems, even with limited cosmic data. …”
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  19. 839

    D-SPDH: Improving 3D Robot Pose Estimation in Sim2Real Scenario via Depth Data by Alessandro Simoni, Guido Borghi, Lorenzo Garattoni, Gianpiero Francesca, Roberto Vezzani

    Published 2024-01-01
    “…In this scenario, the availability of vision-based systems capable of detecting in real-time the robot’s pose is needed as a first step towards a safe and effective interaction to, for instance, avoid collisions. …”
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    Political Security Threat Prediction Framework Using Hybrid Lexicon-Based Approach and Machine Learning Technique by Noor Afiza Mat Razali, Nur Atiqah Malizan, Nor Asiakin Hasbullah, Muslihah Wook, Norulzahrah Mohd Zainuddin, Khairul Khalil Ishak, Suzaimah Ramli, Sazali Sukardi

    Published 2023-01-01
    “…Monitoring online sentiments or opinions is important for detecting any excessive emotions triggered by citizens which can lead to unintended consequences and threats to national security. …”
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