173x 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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