Results 81 to 90 of about 2,912,057 (185)

Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan

IEEE Access
In recent years, with the commercialization of three-dimensional (3D) scanners, there is an increasing demand for automated techniques that can extract anthropometric data accurately and swiftly from 3D human body scans.
Min Hee Cha, Jae Hyeon Park, Ji Sun Byun, Sangyeon Ahn, Gyoomin Lee, Seung Hyun Yoon, Sung In Cho   +6 more
doaj   +1 more source

Deep Structured Prediction for Facial Landmark Detection

, 2020
Existing deep learning based facial landmark detection methods have achieved excellent performance. These methods, however, do not explicitly embed the structural dependencies among landmark points.
Su, Hui, Chen, Lisha, Ji, Qiang
core  

Uncertainty Estimation in Cardio Landmark Detection and Heart Disease Diagnosis on Chest X-Ray Images

IEEE Access
Landmark detection using chest X-ray images is often a time-consuming task performed by radiologists, followed by the calculation of cardiometric indices and the diagnosis of heart diseases.
Dmitry Lvov, Ivan Stebakov, Alexei Kornaev, Ilya Pershin, Tamerlan Mustafaev, Danil Afonchikov, Ramil Kuleev, Iskander Bariev, Bulat Ibragimov   +8 more
doaj   +1 more source

Clinical validation of a deep learning tool for characterizing spinopelvic mobility in total hip arthroplasty

Scientific Reports
Radiographic measurement of patient-specific spinopelvic mobility is standard-of-care in total hip arthroplasty (THA). Current manual methods are time-consuming, subjective, and error-prone.
Gerard H. Smith, Sanjeev Gupta, Joseph Kavolus, Jim Pierrepont, Christopher Plaskos, Edgar A. Wakelin   +5 more
doaj   +1 more source

Enhancing Landmark Point Detection in Eriocheir Sinensis Carapace with Differentiable End-to-End Networks

Animals
This research proposes using a neural network to detect and identify the landmark points of the carapace of the Chinese mitten crab, with the aim of improving efficiency in observation, measurement, and statistics in breeding and sales.
Chong Wu, Shuxian Wang, Shengmao Zhang, Hanfeng Zheng, Wei Wang, Shenglong Yang   +5 more
doaj   +1 more source

Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics

IEEE Access
Deep learning-based recognition systems are deployed at scale for real-world applications that inevitably involve our social life. Although of great support when making complex decisions, they might capture spurious data correlations and leverage ...
Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi   +3 more
doaj   +1 more source

Segmentation-Guided Coordinate Regression for Robust Landmark Detection on X-Rays: Application to Automated Assessment of Lower Limb Alignment

IEEE Access
In medical imaging, automated landmark detection estimates the position of anatomical points in images to derive measurements. Previous approaches commonly employ coordinate regression.
Sebastian Amador Sanchez, Philippe van Overschelde, Jef Vandemeulebroucke   +2 more
doaj   +1 more source

Optimized human detection in NLOS scenarios using hybrid dimensionality reduction and SVM with UWB signals [PDF]

Trapped victim localization in search and rescue (SAR) operations is especially difficult in non-line-of-sight (NLOS) conditions, where traditional techniques fail due to debris and signal distortion.
Oluwafemi, Ilesanmi Banjo; Ekiti State University, Ajisegiri, Emmanuel Sunday Akin; Landmark University, Jiya, Enoch Adama; Landmark University   +2 more
core   +1 more source

Integrated Laser Imaging for Fusiform Fish Measurement in Aquaculture

Fishes
This paper details the implementation of an integrated engineering framework for the real-time assessment of pose and size in fusiform fish, utilizing laser-camera technology.
Shuxian Wang, Shengmao Zhang, Yongchuang Shi, Zuli Wu, Tianfei Cheng   +4 more
doaj   +1 more source

Reduced dose helical CT scout imaging on next generation wide volume CT system decreases scan length and overall radiation exposure

European Journal of Radiology Open
Purpose: Traditional CT acquisition planning is based on scout projection images from planar anterior-posterior and lateral projections where the radiographer estimates organ locations.
Alexa E. Golbus, John L. Schuzer, Chloe Steveson, Shirley F. Rollison, James Matthews, Joseph Henry-Ellis, Marco Razeto, Marcus Y. Chen   +7 more
doaj   +1 more source