ViPeR: Vision-Based Surgical Phase Recognition
Surgical phase recognition is a critical, yet challenging, problem in computer vision, with significant implications for automated surgical training, intraoperative assistance, and workflow optimization. However, the development of robust models is hindered by the scarcity of well-annotated medical...
Saved in:
| Main Authors: | Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong, Ginnie Jeng, Ashorne Mahenthiran, Kostantinos E. Morris, Harrison L. Love, Chandru P. Sundaram, Kaushik Roy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11078244/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Surgical instrument counting: Current practice and staff perspectives on technological support
by: A.M. Kooijmans, et al.
Published: (2024-12-01) -
Enhancing preanalytic surgical specimen management: experience of a system implementation initiative
by: Peirong Chen, et al.
Published: (2025-07-01) -
Laparoscopic total nephrectomy – Our local experience
by: Boilă Ioan Alin Nechifor, et al.
Published: (2025-06-01) -
Retroperitoneoscopic nephrectomy for a nonfunctioning kidney
by: Sekulić Vuk, et al.
Published: (2019-01-01) -
Current strategies to diagnose and manage positive surgical margins and local recurrence after partial nephrectomy
by: Umberto Carbonara, et al.
Published: (2022-07-01)