Object localization using non-Euclidean metrics

In this paper, we proposed to use non-Euclidean statistical metrics to localize multiple 3D anatomical structures by estimating the object’s position, orientation, and size in medical images. Precise orientation estimation is extremely important especially for model-based image segmentation algorith...

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Bibliographic Details
Main Authors: Ulas Bagci, Jayaram K. Udupa, Xinjian Chen, Drew Torigian, Alpay Medetalibeyoglu, Diwei Zhou, Li Bai
Format: Default Article
Published: 2023
Subjects:
Object Localization
Segmentation
Pose Estimation
non-Euclidean metrics
Organ Detection
Online Access:https://hdl.handle.net/2134/24235249.v1
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