Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI

• Published in: Proceedings / IEEE International Symposium on Computer-Based Medical Systems pp. 49 - 52
• Main Authors: Gonzalez, Paula Puerta, Marcos, Pablo Garcia, Arias, Sara Fernandez, Suarez, Rebeca Oliveira, Lorenzo, Guillermo, Gomez, Hector, del Camino, Covadonga, Villar, Jose R., Rio-Alvarez, Angel, Gonzalez, Victor M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18.06.2025
• Subjects: Accuracy; Annotations; Breast cancer; Breast tumors; DCE; Fully-automatic segmentation; Fuzzy C-Means; Magnetic resonance imaging; Manuals; MRI; Pipelines; Reliability; Three-dimensional displays; Training; tumor segmentation

Breast cancer remains one of the most prevalent and life-threatening diseases worldwide, being the most frequently diagnosed cancer among women and the second leading cause of cancer-related mortality. Precise tumor segmentation is essential for breast cancer assessment, as it enables accurate estim...