Geo-RepNet: Geometry-Aware Representation Learning for Surgical Phase Recognition in Endoscopic Submucosal Dissection

Documenti analoghi

• Adapting SAM for Surgical Instrument Tracking and Segmentation in Endoscopic Submucosal Dissection Videos
  di: Yu, Jieming, et al.
  Pubblicazione: (2024)
• EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery
  di: Wang, Guankun, et al.
  Pubblicazione: (2025)
• EndoARSS: Adapting Spatially Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery
  di: Guankun Wang, et al.
  Pubblicazione: (2025)
• PDZSeg: Adapting the Foundation Model for Dissection Zone Segmentation with Visual Prompts in Robot-assisted Endoscopic Submucosal Dissection
  di: Xu, Mengya, et al.
  Pubblicazione: (2024)
• Automatic Virtual‐to‐real Calibration and Dynamic Registration of Deformable Tissue for Endoscopic Submucosal Dissection
  di: Yupeng Wang, et al.
  Pubblicazione: (2025)