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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Bibliografiska uppgifter

Huvudupphov:	Andres Anaya-Isaza, Leonel Mera-Jimenez, Johan Manuel Cabrera-Chavarro, Lorena Guachi-Guachi, Diego Peluffo-Ordonez, Jorge Ivan Rios-Patino
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2021-01-01
Serie:	IEEE Access
Ämnen:	Artificial intelligence biomedical imaging cancer image segmentation machine learning mammography
Länkar:	https://ieeexplore.ieee.org/document/9614200/
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