346x Filetype PPTX File size 1.17 MB Source: equip.woncaeurope.org
Beneficiaries
SURG (Lead)
AUH (co-Lead)
AU
SWU
RTU
IAAD
CORR
WP7 2
Objectives
To annotate a large dataset of laparoscopic videos.
To create an algorithm that enables automatic detection of the
division plane around the endometriotic lesion.
To integrate the algorithm into SurgAR software for real time
augmented reality guidance of the surgeon in finding the division
planes around the lesion.
WP7 3
Tasks
1 . Collecting videos with metadata [M3-M9]
2. Semantic annotation of laparoscopic videos [M9-M25]
3. Deep learning algorithm dedicated to automatic detection of
division plane [M25-M33]
4. Augmented reality to guide surgeons real time on the laparoscopic
screen [M33-M40]
5. Integration and clinical validation of the algorithm in SurgAR
software [M40-M45]
WP7 4
Deliverables
D.7.1 – Dataset of 1,000 laparoscopic dicomised videos [M9]
Lead: AUH (P2)
Type: Videos
D.7.2 – Dataset of 100,000-200,000 laparoscopic semantic annotated images [M25]
Lead: SUW (P5)
Type: Images
D.7.3 – Deep learning algorithm to automatically determinate the division plane [M33]
Lead: RTU (P8)
Type: Algorithm
D.7.4 – Computer vision-based software for real time guided surgery of endometriosis [M45]
Lead: SURG (P7)
Type: Software
WP7 5
Data transfer procedure
Hospital
Operating room
laparoscopes Virtual machine
Video recording SurgAR
storage
Hospital Stored
computer Anonymisation
dicomized + export
videos
Identifying data removal
dicomization
Tools used by the Automated process
hospital
• Pipeline for transfer of anonymized video between a public healthcare structure and SurgAR
• Medexprim is an expert in secure medical data transfer
• Used in a three year collaboration with Clermont-Ferrand University Hospital
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