A novel hybrid method for the registration of deformable medical images using common subregions

Author:

Alam FakhreORCID,Rahman Sami Ur,Ahmad Jamil

Publisher

Springer Science and Business Media LLC

Reference36 articles.

1. El-Gamal FE-ZA, Elmogy M, Atwan A (2016) Current trends in medical image registration and fusion. Egypt Inform J 17(1):99–124

2. Nazir I, AlQahtani SA, Jadoon MM, Dahshan M (2023) Machine learning-based lung cancer detection using multiview image registration and fusion. J Sens 16:2023

3. Alam F, Rahman SU (2016) Intrinsic registration techniques for medical images: a state-of-the-art review. J Postgrad Med Inst 30(2)

4. Alam F et al (2016) Deformable registration methods for medical images: a review based on performance comparison. Proc Pakistan Acad Sci: A. Phys Comput Sci 53(2):111–130

5. Alam F et al (2017) Quantitative evaluation of intrinsic registration methods for medical images. Sindh Univ Res J - SURJ (Science Series) 491(1):43–48

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