Noise reduction and mammography image segmentation optimization with novel QIMFT-SSA method

Noise reduction and mammography image segmentation optimization with novel QIMFT-SSA method

Breast cancer is one of the most dreaded diseases that affects women worldwide and has led to many deaths. Early detection of breast masses prolongs life expectancy in women and hence the development of an automated system for breast masses supports radiologists for accurate diagnosis. In fact, prov...

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Bibliographic Details
Main Authors: W. Soewondo, S.O. Haji, M. Eftekharian, H.A. Marhoon, A.E. Dorofeev, A.T. Jalil, M.A. Jawad, A.H. Jabbar
Format: Article
Language:English
Published: Samara National Research University 2022-04-01
Series:Компьютерная оптика
Subjects:
breast cancer
noise reduction
image segmentation
mammography
qimft-ssa
Online Access:https://computeroptics.ru/eng/KO/Annot/KO46-2/460215e.html

Internet

https://computeroptics.ru/eng/KO/Annot/KO46-2/460215e.html

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