most citedRadiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans

45 citations · 45 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 45 cited

Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans

Lukas Hirsch, Yu Huang, Shaojun Luo +19

Purpose: To develop a deep network architecture that would achieve fully automated radiologist-level segmentation of cancers at breast MRI. Materials and Methods: In this retrospec…