Automated Analysis of Breast MRI From traditional methods into deep learning

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M. Dalmis

Promotor: N. Karssemeijer
Copromotor: R. Mann, A. Mérida and J. Teuwen
Graduation year: 2019
Radboud University, Nijmegen

Abstract

Breast MRI is an indispensable modality in breast imaging with its high sensitivity for detecting breast cancers. Altough benign lesions also appear in breast MRI, it is possible to distinguish them from malignant lesions by interpreting them based on their morphology,contract-enhancement dynamics and other adjunct information such as their diffusion properties imaged with DWI and their appearance on T2w images.