Search Results - semantic segmentation algorithm

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  1. 1

    An improved Deeplabv3+ semantic segmentation algorithm with multiple loss constraints by Wang, Yunyan, Wang, Chongyang, Wu, Huaxuan, Chen, Peng

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 19.01.2022
    Published in PloS one (19.01.2022)
    “…Aiming at the problems of low segmentation accuracy and inaccurate object boundary segmentation in current semantic segmentation algorithms, a semantic segmentation algorithm using multiple loss…”
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    Journal Article
  2. 2

    SEDNet: Real‐Time Semantic Segmentation Algorithm Based on STDC by Ma, Sugang, Zhao, Ziyi, Hou, Zhiqiang, Yu, Wangsheng, Yang, Xiaobao, Zhao, Xiangmo

    ISSN: 0884-8173, 1098-111X
    Published: New York John Wiley & Sons, Inc 01.01.2025
    “… To solve this problem, this paper proposes a real‐time semantic segmentation algorithm based on the STDC network…”
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  3. 3

    Paddy field object detection for robotic combine based on real‐time semantic segmentation algorithm by Zhu, Jiajun, Iida, Michihisa, Chen, Sikai, Cheng, Shijing, Suguri, Masahiko, Masuda, Ryohei

    ISSN: 1556-4959, 1556-4967
    Published: Hoboken Wiley 01.03.2024
    Published in Journal of Field Robotics (01.03.2024)
    “… In this study, the deep learning (DL) based semantic segmentation (SS) method was employed to detect all paddy field objects simultaneously using only an RGB camera…”
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  4. 4

    Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study by Tang, Minghui, Sugiyama, Taku, Takahari, Ren, Sugimori, Hiroyuki, Yoshimura, Takaaki, Ogasawara, Katsuhiko, Kudo, Kohsuke, Fujimura, Miki

    ISSN: 1437-2320, 1437-2320
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 09.05.2024
    Published in Neurosurgical review (09.05.2024)
    “… The present study therefore aimed to develop a deep learning-based semantic segmentation algorithm to assess the area change of vessels during microvascular anastomosis for objective surgical skill…”
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  5. 5

    A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks by Yang, Chengzhi, Guo, Hongjun

    ISSN: 1687-5265, 1687-5273, 1687-5273
    Published: New York Hindawi 06.09.2022
    “…With the development of deep learning theory and the decrease of the cost of acquiring massive data, the image semantic segmentation algorithm based on Convolutional Neural Networks (CNNs…”
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  6. 6

    An improved semantic segmentation algorithm for high-resolution remote sensing images based on DeepLabv3 by Wang, Yan, Yang, Ling, Liu, Xinzhan, Yan, Pengfei

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 27.04.2024
    Published in Scientific reports (27.04.2024)
    “…High-precision and high-efficiency Semantic segmentation of high-resolution remote sensing images is a challenge…”
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  7. 7

    A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks by Hao, Xuejie, Yin, Lizeyan, Li, Xiuhong, Zhang, Le, Yang, Rongjin

    ISSN: 2072-4292, 2072-4292
    Published: Basel MDPI AG 01.04.2023
    Published in Remote sensing (Basel, Switzerland) (01.04.2023)
    “… associated with the project. This paper presents a multi-objective semantic segmentation algorithm based on an improved U-Net network, which can improve the recognition efficiency of various types of features in the construction…”
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  8. 8

    Research on semantic segmentation algorithm of high latitude urban river ice based on deep transfer learning by Zhao, Wangyuan, Xue, Yanzhuo, Han, Fenglei, Peng, Xiao, Zhao, Yiming, Zhang, Jiawei, Yang, Jianfeng, Lin, Qi, Wu, Yuliang

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Published: London Taylor & Francis 02.07.2024
    Published in International journal of remote sensing (02.07.2024)
    “… This study established a dataset of river ice in the Songhua River near Harbin, Northeast China, using UAV aerial photography and applied the RININet semantic segmentation algorithm for precise…”
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  9. 9

    Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm by Asani, Ben, Holmberg, Olle, Schiefelbein, Johannes B., Hafner, Michael, Herold, Tina, Spitzer, Hannah, Siedlecki, Jakob, Kern, Christoph, Kortuem, Karsten U., Frishberg, Amit, Theis, Fabian J., Priglinger, Siegfried G.

    ISSN: 0950-222X, 1476-5454, 1476-5454
    Published: London Nature Publishing Group UK 01.11.2024
    Published in Eye (London) (01.11.2024)
    “… For this purpose, we devised a novel deep learning based semantic segmentation algorithm providing the first benchmark results for automatic segmentation of 11 OCT features including biomarkers…”
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  10. 10

    A Lightweight Road Scene Semantic Segmentation Algorithm by Peng, Jiansheng, Yang, Qing, Hou, Yaru

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Published: Henderson Tech Science Press 2023
    Published in Computers, materials & continua (2023)
    “… The semantic segmentation of road scenes has important practical significance in the fields of automatic driving, transportation planning, and intelligent transportation systems…”
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  11. 11

    A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Liu, Yingyuan, Wang, Yizhi, An, Kang

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 05.02.2025
    Published in Scientific reports (05.02.2025)
    “… To conveniently extract cavitation features from the massive images, a feature extraction method for hydrofoil cavitation was proposed in this work based on deep learning image semantic segmentation techniques…”
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  12. 12

    Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade UAV Remote Sensing by Ye, Hong, Cai, Jijing, Deng, Jiangtao, Wang, Xiaodong, Bashir, Ali Kashif, Fang, Kai, Wang, Wei

    ISSN: 0098-3063, 1558-4127
    Published: IEEE 2025
    “… To address this issue, we propose an efficient machine learning-based semantic segmentation algorithm (EMLSSA…”
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  13. 13

    Visual Inspection of Welding Zone by Boundary-Aware Semantic Segmentation Algorithm by Wang, Lihui, Shen, Qiucheng

    ISSN: 0018-9456, 1557-9662
    Published: New York IEEE 2021
    “… A boundary-aware semantic segmentation algorithm is proposed to improve the precision and robustness of the welding zone inspection system…”
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  14. 14

    Liver Semantic Segmentation Algorithm Based on Improved Deep Adversarial Networks in Combination of Weighted Loss Function on Abdominal CT Images by Xia, Kaijian, Yin, Hongsheng, Qian, Pengjiang, Jiang, Yizhang, Wang, Shuihua

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in IEEE access (2019)
    “…Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework…”
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  15. 15

    Visual comfort impact assessment for walking spaces of urban historic district in China based on semantic segmentation algorithm by Gao, Xiaoming, Wang, Hang, Zhao, Jilong, Wang, Yuetao, Li, Chaoxian, Gong, Cong

    ISSN: 0195-9255
    Published: Elsevier Inc 01.07.2025
    Published in Environmental impact assessment review (01.07.2025)
    “… In contrast to previous studies, this study develops a comprehensive methodology framework for assessing visual comfort of UHD walking spaces to provide evidence for health-benefits based on Semantic Segmentation (Semseg…”
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  16. 16

    RAD-UNet: Research on an improved lung nodule semantic segmentation algorithm based on deep learning by Wu, Zezhi, Li, Xiaoshu, Zuo, Jianhui

    ISSN: 2234-943X, 2234-943X
    Published: Switzerland Frontiers Media S.A 23.03.2023
    Published in Frontiers in oncology (23.03.2023)
    “…Due to the small proportion of target pixels in computed tomography (CT) images and the high similarity with the environment, convolutional neural network-based semantic segmentation models are difficult to develop by using deep learning…”
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  17. 17

    A semantic segmentation algorithm for automated rapid melt pool identification from cross-sectional micrographs by Fody, Joshua M., Narra, Sneha P., Strayer, Seth, Templeton, William Frieden, Newman, John A.

    ISSN: 1044-5803, 1873-4189
    Published: Elsevier Inc 01.05.2024
    Published in Materials characterization (01.05.2024)
    “… a range of process conditions. In this work, we propose a semantic segmentation algorithm for automating…”
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  18. 18

    Research on Semantic Segmentation Algorithm for Multiscale Feature Images Based on Improved DeepLab v3 by Wang, Qing-li, Liu, Hai-ping, Wen, Tao, Hu, Jun

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.05.2024
    Published in Journal of physics. Conference series (01.05.2024)
    “…+ model cannot fully utilize high-resolution shallow features, a feature image semantic segmentation algorithm based on improved DeepLab v3…”
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  19. 19

    Enhancing cancer diagnostics through a novel deep learning-based semantic segmentation algorithm: A low-cost, high-speed, and accurate approach by Benabbou, Tarik, Sahel, Aïcha, Badri, Abdelmajid, Mourabit, Ilham El

    ISSN: 0010-4825, 1879-0534, 1879-0534
    Published: United States Elsevier Ltd 01.09.2025
    Published in Computers in biology and medicine (01.09.2025)
    “…Deep learning-based semantic segmentation approaches provide an efficient and automated means for cancer diagnosis and monitoring, which is important in clinical applications…”
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  20. 20

    Dynamic mutual training semi-supervised semantic segmentation algorithm with adaptive capability (AD-DMT) for choy sum stem segmentation and 3D positioning of cutting points by Yuan, Kai, Wang, Qian, Zhao, Zuoxi, Wu, Mengcheng, Shui, Yuanqing, Yang, Xiaonan, Xu, Ruihan

    ISSN: 0168-1699
    Published: Elsevier B.V 01.05.2025
    Published in Computers and electronics in agriculture (01.05.2025)
    “…) algorithm for semi-supervised segmentation, which improves on the original framework by incorporating…”
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