作者
Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno MC Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo da Rosa Righi
发表日期
2020/8
期刊
Journal of digital imaging
卷号
33
页码范围
858-868
出版商
Springer International Publishing
简介
The diagnosis of breast cancer in early stage is essential for successful treatment. Detection can be performed in several ways, the most common being through mammograms. The projections acquired by this type of examination are directly affected by the composition of the breast, which density can be similar to the suspicious masses, being a challenge the identification of malignant lesions. In this article, we propose a computer-aided detection (CAD) system to aid in the diagnosis of masses in digitized mammograms using a model based in the U-Net, allowing specialists to monitor the lesion over time. Unlike most of the studies, we propose the use of an entire base of digitized mammograms using normal, benign, and malignant cases. Our research is divided into four stages: (1) pre-processing, with the removal of irrelevant information, enhancement of the contrast of 7989 images of the Digital Database for …
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FA Zeiser, CA da Costa, T Zonta, NMC Marques… - Journal of digital imaging, 2020