Evaluation of denoising digital breast tomosynthesis data in both projection and image domains and a study of noise model on digital breast tomosynthesis image domain | Zendy

Daniele Cristina Scarparo | Zendy; Denis H. P. Salvadeo | Zendy; Daniel Carlos Guimarães Pedronette | Zendy; Bruno Barufaldi | Zendy; Andrew Douglas Arnold Maidment | Zendy

Open Access

Evaluation of denoising digital breast tomosynthesis data in both projection and image domains and a study of noise model on digital breast tomosynthesis image domain

Author(s) -

Daniele Cristina Scarparo,

Denis H. P. Salvadeo,

Daniel Carlos Guimarães Pedronette,

Bruno Barufaldi,

Andrew Douglas Arnold Maidment

Publication year - 2019

Publication title -

journal of medical imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.779

H-Index - 29

eISSN - 2329-4310

pISSN - 2329-4302

DOI - 10.1117/1.jmi.6.3.031410

Subject(s) - tomosynthesis , medicine , digital breast tomosynthesis , projection (relational algebra) , noise (video) , noise reduction , computer vision , artificial intelligence , digital mammography , medical physics , iterative reconstruction , radiology , image (mathematics) , mammography , breast cancer , computer science , algorithm , cancer

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