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Lung image segmentation via generative adversarial networks [PDF]
Frontiers in PhysiologyIntroductionLung image segmentation plays an important role in computer-aid pulmonary disease diagnosis and treatment.MethodsThis paper explores the lung CT image segmentation method by generative adversarial networks.
Jiaxin Cai +4 more
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Survey on Image Panoptic Segmentation Based on Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2023 With the continuous development of deep learning and image segmentation, image panoptic segmentation has become a research hotspot in the field of computer vision, and many image panoptic segmentation methods have been proposed. This paper summarizes the
BI Yangyang, ZHENG Yuanfan, SHI Caijuan, ZHANG Kun, LIU Jian
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Survey Progress on Image Instance Segmentation Methods of Deep Convolutional Neural Network [PDF]
Jisuanji kexue, 2022 Image instance segmentation is an important part of image processing and computer vision technology about image understanding.With the development of deep learning and deep convolutional neural network,image instance segmentation method based on deep ...
HU Fu-yuan, WAN Xin-jun, SHEN Ming-fei, XU Jiang-lang, YAO Rui, TAO Zhong-ben
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Segmentation for Athlete's Ankle Injury Image Using Residual Double Attention U-Net Model [PDF]
Brazilian Archives of Biology and Technology, 2023 The image of an athlete's ankle joint injury can help to check whether the athlete's ankle joint is damaged, and plays a very important role in clinical diagnosis.
Jing Zhang +3 more
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Research Review of Image Semantic Segmentation Method in High-Resolution Remote Sensing Image Interpretation [PDF]
Jisuanji kexue yu tansuo, 2023 Rapid acquisition of remote sensing information has important research significance for the development of image semantic segmentation methods in remote sensing image interpretation applications.
MA Yan, Gulimila·Kezierbieke
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Applied Sciences, 2022 Visual navigation is an important guidance method for industrial automated guided vehicles (AGVs). In the actual guidance, the overexposure environment may be encountered by the AGV lane image, which seriously reduces the accuracy of lane detection ...
Zongxin Yang +6 more
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An improved image segmentation algorithm based on the maximum class variance method [PDF]
MATEC Web of Conferences, 2020 Image segmentation is an important part of image processing. The result of image segmentation directly affects the effect of subsequent image processing. However the efficiency of the traditional maximum class variance method is low.
Qi Qianhui, Tian Yimin, Han Lili
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Image Segmentation Techniques for Intelligent Monitoring of Putonghua Examinations
Advances in Mathematical Physics, 2022 Image recognition and image processing usually contain the technique of image segmentation. Excellent segmentation results can directly affect the accuracy of image recognition and processing. The essence of image segmentation is to segment each frame of
Hui Liu
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A Method of Polished Rice Image Segmentation Based on YO-LACTS for Quality Detection
Agriculture, 2023 The problem of small and multi-object polished rice image segmentation has always been one of importance and difficulty in the field of image segmentation.
Jinbo Zhou +5 more
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Sensors, 2021 High-spatial-resolution images play an important role in land cover classification, and object-based image analysis (OBIA) presents a good method of processing high-spatial-resolution images.
Shuang Hao, Yuhuan Cui, Jie Wang
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