Surgical Phase & Gesture Recognition
Surgical workflow phase temporal segmentation (incision, dissection, hemoclip application, suturing) and micro-gesture labels.
Quality & Precision Benchmarks
PHASE CLASSIFICATION ACC
98.4% Frame-Level Accuracy
ANNOTATOR QUALIFICATION
Surgical Residency Certified
SLA TURNAROUND
< 24 Hours Express
VALIDATION PASS
100% Passed Audits
Dataset Taxonomy & Output Structure
operation_type (Laparoscopic Cholecystectomy / Prostatectomy)
surgical_phase_id (Phase 1 to Phase 7 Taxonomy)
gesture_kinematic_id (Knot Tying / Needle Passing)
frame_start_index (Integer Video Frame Bounds)
frame_end_index (Integer Video Frame Bounds)
Specific Type Tasks & Applications
- • Operating Room Efficiency & Duration Prediction
- • Automated Surgical Skill Assessment
- • Real-Time OR Safety Alerts
What Is Right vs What Is Wrong
| COMMON COMPETITOR ERRORS (WRONG) | BLUE PROJECTS GROUND TRUTH (RIGHT) |
|---|---|
| FAIL: Vague phase timestamps missing sub-minute transition boundaries during complex procedures | PASS: Frame-accurate surgical phase segmentation timestamped to exact video frame boundaries |
| FAIL: Unstandardized phase labels causing model training collapse across different hospitals | PASS: Standardized surgical workflow taxonomies aligned with international surgical curricula |
Files & Medical Data Example (Python)
import json
# Load Blue Projects Surgical & Medical Dataset Type: Surgical Phase & Gesture Recognition
with open("surgical-phase-gesture-recognition_medical_sample.json", "r") as f:
data = json.load(f)
print("Loaded Medical Keys:", list(data.keys()))
Why Blue Projects for Surgical Phase & Gesture Recognition?
Request a free matched 500-frame surgical endoscope sample batch annotated by Board-certified surgeons under full HIPAA BAA coverage.
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