Cited by 36Medical Image Segmentation TechniquesAdvanced Radiotherapy TechniquesImage Retrieval and Classification Techniques

A novel learning-based dissimilarity metric for rigid and non-rigid medical image registration by using bhattacharyya distances

So, Ronald W.K., Chung, Albert C.S.·2017·Pattern Recognition

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Crossref · 10.1016/j.patcog.2016.09.004

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  • So et al. proposed a novel learning-based metric using Bhattacharyya Distances, where dissimilarity of testing image pairs is calculated by incorporating expected intensity distributions learned from registered training image pairs.

    “So et al. (57) proposed a novel learning-based metric by using Bhattacharyya Distances. The dissimilarity of the testing image pairs is calculated by incorporating the expected intensity distributions learned from the registered training image pairs.”

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Authors
So, R. W. K., & Chung, A. C. S.
Affiliations
Hong Kong University of Science and Technology (HK)
Corresponding author
So, Ronald W.K.
Venue
Pattern Recognition
Publisher
Elsevier BV
Published
2017-02
Volume
62
Pages
161-174
ISSN
0031-3203 (ISSN-L)
OpenAlex
W2519648241
Cited by
36
References
39
Citations by year
2026: 4 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 7 · 2021: 8 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 2
FWCI
2.04
Type
journal article
Language
en
Open access
closed
Locations
  • Pattern Recognition (publishedVersion)
  • Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
Keywords
medical image registration, dissimilarity measures, Bhattacharyya distance, rigid registration, non-rigid registration, multimodal image registration

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