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Repository of MRI-derived models of the breast with single and multiple benign ...

Pelicano, Ana C.; Gonçalves, Maria C. T.; Castela, Tiago; Orvalho, M. Lurdes; Araújo, Nuno A. M.; Porter, Emily; Conceição, Raquel C.

The diagnosis of breast cancer through MicroWave Imaging (MWI) technology has been extensively researched over the past few decades. However, continuous improvements to systems are needed to achieve clinical viability. To this end, the numerical models employed in simulation studies need to be diversified, anatomically accurate, and also representative of the cases in clinical settings. Hence, we have created t...


Breast MRI Multi-Tumor Segmentation using 3D Region Growing

Pelicano, Ana Catarina; Godinho, Daniela M.; Gonçalves, Maria C. T.; Castela, Tiago; Orvalho, Maria Lurdes; Sencadas, Vitor; Sebastião, Raquel

Breast tumor is one of the most prominent indicators for diagnosis of breast cancer. Magnetic Resonance Imaging (MRI) is a relevant imaging modality tool for breast cancer screening. Moreover, an accurate 3D segmentation of breast tumors from MRI scans plays a key role in the analysis of the disease. This paper presents a pipeline to automatically segment multiple tumors in breast MRI scans, following the metho...


Development of 3D MRI-Based Anatomically Realistic Models of Breast Tissues and...

Pelicano, Ana Catarina; Gonçalves, Maria C. T.; Godinho, Daniela M.; Castela, Tiago; Orvalho, M. Lurdes; Araújo, Nuno A. M.; Porter, Emily

Breast cancer diagnosis using radar-based medical MicroWave Imaging (MWI) has been studied in recent years. Realistic numerical and physical models of the breast are needed for simulation and experimental testing of MWI prototypes. We aim to provide the scientific community with an online repository of multiple accurate realistic breast tissue models derived from Magnetic Resonance Imaging (MRI), including beni...


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