Výsledky vyhledávání - "1237: Advanced Deep Learning for Computer Vision and Multimedia Applications"

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  1. 1

    Wrist joint synovial hypertrophy and effusion detection in musculoskeletal ultrasound images using self-attention U-Net Autor Chang, Chuan-Wang, Chang, Chuan-Yu, Zhu, Yu-Xian, Wang, Sz-Tsan

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…Skeletal muscle ultrasound has emerged as a pivotal imaging modality in rheumatology clinics, offering unparalleled advantages such as radiation-free imaging,…”
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    Journal Article
  2. 2

    Robust autonomous driving control using deep hybrid-learning network under rainy/snown conditions Autor Lee, Chao-Yang, Khanum, Abida, Sung, Tien-Wen

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…The study introduces a groundbreaking two-stage deep hybrid learning architecture, Robust Autonomous Driving Control (RADC), designed to address the formidable…”
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  3. 3

    ST-LP: self-training and label propagation for semi-supervised classification Autor Lin, Chih-Wen, Chiang, Chen-Kuo, Wang, Yu-An, Yang, Yue-Lin, Li, Hao-Ting, Lin, Tzu-Chieh

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…Due to the particularly high costs of manual data labeling, especially in the field of medical imaging, and the necessity for specialized knowledge, there is a…”
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  4. 4

    Deep learning-based vehicle event identification Autor Chen, Yen-Yu, Chen, Jui-Chi, Lian, Zhen-You, Chiang, Hsin-You, Huang, Chung-Lin, Chuang, Cheng-Hung

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…In recent years, there has been a rapid development of intelligent driving assistance systems. Although most vehicles nowadays are equipped with driving…”
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  5. 5

    AVAFN-adaptive variational autoencoder fusion network for multispectral image Autor Chu, Wen-Lin, Tu, Ching-Che, Jian, Bo-Lin

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…Image fusion involves extracting and combining the most meaningful information from images captured by different sensors, aiming to create a single image…”
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  6. 6

    Optimizing photo-to-anime translation with prestyled paired datasets Autor Chang, Chuan-Wang, Dharmawan, Pratamagusta

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…Animation is a widespread artistic expression that holds a special place in people's hearts. Traditionally, animation creation has relied heavily on manual…”
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  7. 7

    Sub-pixel multi-scale fusion network for medical image segmentation Autor Li, Jing, Chen, Qiaohong, Fang, Xian

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…CNNs and Transformers have significantly advanced the domain of medical image segmentation. The integration of their strengths facilitates rich feature…”
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  8. 8

    Accurate detection of fresh and old vertebral compression fractures on CT images using ensemble YOLOR Autor Hsieh, Min-Hong, Chang, Chuan-Yu, Hsu, Shao-Min

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…Vertebral compression fractures resulting from osteoporosis contribute to pain and disability among older people, necessitating early detection and treatment…”
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  9. 9

    Fuzzy validation of Taguchi-based convolutional fuzzy neural classifier for lung cancer imaging Autor Chang, Tsang-Chuan, Lin, Cheng-Jian, Yang, Tang-Yun

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
    “…While deep learning technology is widely used in the field of image classification and recognition, parameter setting for convolutional neural networks is…”
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  10. 10

    Advanced deep learning for computer vision and multimedia applications

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Multimedia tools and applications (01.12.2024)
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    Journal Article