Results 11 to 20 of about 19,154,024 (348)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation [PDF]
IEEE Transactions on Medical Imaging, 2019 Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation ...
Jiang Liu, Zaiwang Gu, Kang Zhou
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Contour Detection and Hierarchical Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011 Pablo Arbelaez, Jitendra Malik
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Masked-attention Mask Transformer for Universal Image Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 Image segmentation groups pixels with different semantics, e.g., category or instance membership. Each choice of semantics defines a task. While only the semantics of each task differ, current research focuses on designing spe-cialized architectures for ...
Bowen Cheng +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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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation [PDF]
ECCV Workshops, 2021 In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical ...
Hu Cao +6 more
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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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UNETR: Transformers for 3D Medical Image Segmentation [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Fully Convolutional Neural Networks (FCNNs) with contracting and expanding paths have shown prominence for the majority of medical image segmentation applications since the past decade. In FCNNs, the encoder plays an integral role by learning both global
Ali Hatamizadeh +7 more
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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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Image Segmentation Using Deep Learning: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Image segmentation is a key task in computer vision and image processing with important applications such as scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, among others, and ...
Shervin Minaee +5 more
semanticscholar +1 more source
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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