Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms

Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms

Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cancer mortality. However, these figures can be reduced with early diagnosis through mammographic imaging, allowing for the timely and effective treatment of this disease. To establish the best tools f...

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Bibliographic Details
Main Authors: Andres Anaya-Isaza, Leonel Mera-Jimenez, Johan Manuel Cabrera-Chavarro, Lorena Guachi-Guachi, Diego Peluffo-Ordonez, Jorge Ivan Rios-Patino
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
biomedical imaging
cancer
image segmentation
machine learning
mammography
Online Access:https://ieeexplore.ieee.org/document/9614200/

Internet

https://ieeexplore.ieee.org/document/9614200/

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