Showing 421 - 440 results of 20,691 for search 'detection process', query time: 0.21s Refine Results
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    Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

    Published 2025-01-01
    “…We applied Local Interpretable Model-Agnostic Explanations (LIME) visualizations to both datasets, which proved to be an insightful identification of regions that the model relied on during the polyp detection process. Based on the LIME explanation, this analysis found that the visualizations generated by the Kvasir dataset were more informative and even clearer when complex cases, including ulcerative colitis and polyps are concerned. …”
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    RNA-BioLens: A Novel Raspberry Pi-Based Digital Microscope With Image Processing for Acute Lymphoblastic Leukemia Detection by Angeline Dwi Sanjaya, Rachmad Setiawan, Nada Fitrieyatul Hikmah

    Published 2025-01-01
    “…This application achieved a detection accuracy of 97.67% for the overall detection system, demonstrating its potential as a reliable tool for efficient and accurate diagnosis.…”
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    Whispers in the air: Designing acoustic classifiers to detect fruit flies from afar by Alia Khalid, Muhammad Latif Anjum, Salman Naveed, Wajahat Hussain

    Published 2025-03-01
    “…Detecting weak wingbeats of a flying bug is a challenging problem in uncontrolled outdoor settings. …”
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    Evaluating sowing uniformity in hybrid rice using image processing and the OEW-YOLOv8n network by Zehua Li, Zehua Li, Yihui Pan, Xu Ma, Yongjun Lin, Xicheng Wang, Hongwei Li

    Published 2025-02-01
    “…Firstly, image processing methods are used to segment seed image and obtain seed grids. …”
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    Study on infrasonic leakage monitoring and signal processing for product oil pipeline by Yuanbo YIN, Yuxing LI, Wen YANG, Shu LU, Chen ZHANG, Cuiwei LIU, Kai YANG, Wuchang WANG

    Published 2024-08-01
    “…Furthermore, the experimental data were processed and classified, utilizing the method based on Wavelet Transform-Random Forest (WT-RF). …”
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