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A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI
2021
Journal of Imaging
The recent spread of Deep Learning (DL) in medical imaging is pushing researchers to explore its suitability for lesion segmentation in Dynamic Contrast-Enhanced Magnetic-Resonance Imaging (DCE-MRI), a complementary imaging procedure increasingly used in breast-cancer analysis. Despite some promising proposed solutions, we argue that a "naive" use of DL may have limited effectiveness as the presence of a contrast agent results in the acquisition of multimodal 4D images requiring thorough
doi:10.3390/jimaging7120276
pmid:34940743
pmcid:PMC8703956
fatcat:kq57jcptkbcf3cchdibgo5ivzm