Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI

arXiv:2404.13929v1 Announce Type: cross
Abstract: Breast cancer is the most common malignant tumor among women and the second cause of cancer-related death. Early diagnosis in clinical practice is crucial for timely treatment and prognosis. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has revealed great usability in the preoperative diagnosis and assessing therapy effects thanks to its capability to reflect the morphology and dynamic characteristics of breast lesions. However, most existing computer-assisted diagnosis algorithms only consider conventional radiomic features when classifying benign …

abstract arxiv cancer classification clinical contrast cs.cv death diagnosis dynamic eess.iv features imaging mri practice treatment type usability women