Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy.
Saved in:
| Title: | Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy. |
|---|---|
| Authors: | den Boer RB; Department of Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands., Jaspers TJM; Department of Biomedical Engineering, Eindhoven University of Technology, Groene Loper 3, 5612 AE, Eindhoven, The Netherlands., de Jongh C; Department of Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands., Pluim JPW; Department of Biomedical Engineering, Eindhoven University of Technology, Groene Loper 3, 5612 AE, Eindhoven, The Netherlands., van der Sommen F; Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AP, Eindhoven, The Netherlands., Boers T; Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AP, Eindhoven, The Netherlands., van Hillegersberg R; Department of Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands., Van Eijnatten MAJM; Department of Biomedical Engineering, Eindhoven University of Technology, Groene Loper 3, 5612 AE, Eindhoven, The Netherlands., Ruurda JP; Department of Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands. j.p.ruurda@umcutrecht.nl. |
| Source: | Surgical endoscopy [Surg Endosc] 2023 Jul; Vol. 37 (7), pp. 5164-5175. Date of Electronic Publication: 2023 Mar 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 8806653 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2218 (Electronic) Linking ISSN: 09302794 NLM ISO Abbreviation: Surg Endosc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1432-2218 |
|---|---|
| DOI: | 10.1007/s00464-023-09990-z |