Results 11 to 20 of about 2,912,057 (185)
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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Contour-Hugging Heatmaps for Landmark Detection [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose an effective and easy-to-implement method for simultaneously performing landmark detection in images and obtaining an ingenious uncertainty measurement for each landmark. Uncertainty measurements for land-marks are particularly useful in medical imaging applications: rather than giving an erroneous reading, a landmark detection system is ...
McCouat, J, Voiculescu, I
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Vision based landmark detection for UAV navigation [PDF]
, 2012 The majority of Unmanned Aerial Vehicles (UAV) available today depend on Global Position Satellites (GPS) and inertial measurement units (IMU) for state estimation used in navigation and control.
Elliott, Alexander William
core +7 more sources
Real-Time joint Landmark Recognition and Classifier Generation by an Evolving Fuzzy System. [PDF]
, 2006 A new approach to real-time joint classification and classifier design is proposed in this paper. It is based on the recently developed evolving fuzzy system (EFS) method and is applied to mobile robotics.
Angelov, Plamen, Zhou, Xiaowei
core +5 more sources
Detecting Facial Region and Landmarks at Once via Deep Network
Sensors, 2021 For accurate and fast detection of facial landmarks, we propose a new facial landmark detection method. Previous facial landmark detection models generally perform a face detection step before landmark detection.
Taehyung Kim, Jiwon Mok, Euichul Lee
doaj +1 more source
Design of a Facial Landmark Detection System Using a Dynamic Optical Flow Approach
IEEE Access, 2021 Many facial landmark methods based on convolutional neural networks (CNN) have been proposed to achieve favorable detection results. However, the instability landmarks that occur in video frames due to CNNs are extremely sensitive to input image noise ...
Bing-Fei Wu, Bo-Rui Chen, Chun-Fei Hsu
doaj +1 more source
Automatic landmark detection and mapping for 2D/3D registration with BoneNet [PDF]
Frontiers in Veterinary Science, 2022 Jan de Beenhouwer +2 more
exaly +2 more sources
IEEE Access, 2023 Adenoid hypertrophy is a pathological condition characterized by the enlargement of the adenoids in children, which may lead to various problems. The conventional manual measurement is time-consuming and subject to subjective errors.
Ziling He +5 more
doaj +1 more source
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
doaj +1 more source
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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