Results 11 to 20 of about 48,274 (263)
Multi-Scale Semantic Fusion of a Large Receptive Field for Irregular Pelvic X-Ray Landmark Detection
IEEE Access, 2023 Pelvic landmark detection is a significant pre-task to measure the clinical measurement in pelvic abnormality analysis. Accurate pelvic landmark detection could provide reliable clinical parameter measurement results, which are helpful for doctors to ...
Chenyang Lu +4 more
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Geo Landmark Recognition and Detection
International Journal of Innovative Technology and Exploring Engineering, 2021 The widespread use of smartphones and mobile data in the present-day society has exponentially led to the interaction with the physical world. The increase in the amount of image data in web and mobile applications makes image search slow and inaccurate.
Nishika Manira +4 more
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Improved Heatmap-Based Landmark Detection [PDF]
, 2021 Mitral valve repair is a very difficult operation, often requiring experienced surgeons. The doctor will insert a prosthetic ring to aid in the restoration of heart function. The location of the prosthesis' sutures is critical. Obtaining and studying them during the procedure is a valuable learning experience for new surgeons.
Huifeng Yao +3 more
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Computer-Assisted Detection of Cemento-Enamel Junction in Intraoral Ultrasonographs
Applied Sciences, 2021 The cemento-enamel junction (CEJ) is an important reference point for various clinical measurements in oral health assessment. Identifying CEJ in ultrasound images is a challenging task for dentists. In this study, a computer-assisted detection method is
Kim-Cuong T. Nguyen +6 more
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Bayesian surprise and landmark detection [PDF]
2009 IEEE International Conference on Robotics and Automation, 2009 Automatic detection of landmarks, usually special places in the environment such as gateways, for topological mapping has proven to be a difficult task. We present the use of Bayesian surprise, introduced in computer vision, for landmark detection. Further, we provide a novel hierarchical, graphical model for the appearance of a place and use this ...
Ananth Ranganathan, Frank Dellaert
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Towards Safe Visual Navigation of a Wheelchair Using Landmark Detection
Technologies, 2023 This article presents a method for extracting high-level semantic information through successful landmark detection using 2D RGB images. In particular, the focus is placed on the presence of particular labels (open path, humans, staircase, doorways ...
Christos Sevastopoulos +5 more
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Learning to validate the quality of detected landmarks [PDF]
Twelfth International Conference on Machine Vision (ICMV 2019), 2020 Will be published in the proceedings of the ICMV 2019 ...
Wolfgang Fuhl, Enkelejda Kasneci
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One-Shot Learning for Landmarks Detection [PDF]
, 2021 Landmark detection in medical images is important for many clinical applications. Learning-based landmark detection is successful at solving some problems but it usually requires a large number of annotated datasets for the training stage. In addition, traditional methodsusually fail for the landmark detection of fine objects.
Wang, Zihao +5 more
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CircleNet for Hip Landmark Detection
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Landmark detection plays a critical role in diagnosis of Developmental Dysplasia of the Hip (DDH). Heatmap and anchor-based object detection techniques could obtain reasonable results. However, they have limitations in both robustness and precision given the complexities and inhomogeneity of hip X-ray images.
Hai Wu +5 more
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Aircraft-LBDet: Multi-Task Aircraft Detection with Landmark and Bounding Box Detection
Remote Sensing, 2023 With the rapid development of artificial intelligence and computer vision, deep learning has become widely used for aircraft detection. However, aircraft detection is still a challenging task due to the small target size and dense arrangement of aircraft
Yihang Ma +6 more
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