Radiographs and texts fusion learning based deep networks for skeletal bone age assessment
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08943-1
Abstract: Bone age assessment is a pediatric examination that determines the difference between skeletal age and chronological age. The discrepancy between the two ages will often trigger the likelihood of genetic disorders, hormonal complications and abnormalities… read more here.
Keywords: age; age assessment; fusion learning; bone age ... See more keywords
Fusion learning for inter-laboratory comparisons
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DOI: 10.1016/j.jspi.2017.09.011
Abstract: Abstract In this paper we propose a Generalized Fiducial Inference inspired method for finding a robust consensus of several independently derived collection of confidence distributions (CDs) for a quantity of interest. The resulting fused CD… read more here.
Keywords: true value; consensus; inter laboratory; fusion learning ... See more keywords
Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes
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DOI: 10.1109/lra.2020.3010720
Abstract: Predicting whether a particular grasp will succeed is critical to performing stable grasping and manipulating tasks. Robots need to combine vision and touch as humans do to accomplish this prediction. The primary problem to be… read more here.
Keywords: tactile fusion; visual tactile; self attention; fusion learning ... See more keywords