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

Article · Olivier Bernard, Alain Lalande, Clément Zotti, Frédéric Cervenansky, Xin Yang, Pheng‐Ann Heng, Irem Cetin, Karim Lekadir, Óscar Cámara, Miguel Á. González Ballester, Gerard Sanromà, Sandy A. Napel, Steffen Erhard Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant B, Fabian Isensee, Paul F. Jäger, Klaus Hermann Maier-Hein, Peter M. Full and 12 more

- Archive id: doi:10.1109/tmi.2018.2837502
- Published: 2018-05-17
- Venue: IEEE Transactions on Medical Imaging
- DOI: https://doi.org/10.1109/tmi.2018.2837502
- PMID: 29994302
- Citations: 2,426
- Source URL: https://doi.org/10.1109/tmi.2018.2837502
- PDF: https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/42264/1/Bernard%20et%20al_Deep%20learning%20techniques%20automatic%20MRI_2018_Accepted.pdf
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [AI in Clinical Medicine](https://space-kitty.com/topics/ai-medicine)

---
Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.