IEEE Transactions on Medical Imaging· 2018Q1

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti, Frederick Cervenansky et al.

2,285citations
Q1SCImago
2018year

Short summary

Deep learning methods achieved expert-level accuracy (0.97 correlation for index extraction, 0.96 for diagnosis) on the new Automatic Cardiac Diagnosis Challenge (ACDC) dataset, suggesting automation is near for cardiac MRI analysis.

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Field: Radiology, Nuclear Medicine and Imaging

Radiology, Nuclear Medicine and ImagingMedicine