Shafique Ahmed, Ravi Nimonkar, Supreet K Kalra, Pardal Maninder Pal Singh, Rajiva, Sumeet Singh
Menstrual hygiene management and menstrual problems among adolescent girls in an urban area in north India: A cross-sectional study
Journal of family medicine and primary care
modern operating room becoming increasingly complex requiring innovative intraoperative support systems focus surgical data science largely video analysis integrating surgical computer vision natural language capabilities emerging necessity work aims advance visual question answering vqa surgical context scene graph knowledge addressing two main challenges current surgical vqa systems removing questioncondition bias surgical vqa dataset incorporating sceneaware reasoning surgical vqa model design first propose surgical scene graphbased dataset ssgvqa generated employing segmentation detection models publicly available datasets build surgical scene graphs using spatial action information instruments anatomies graphs fed question engine generating diverse qa pairs propose ssgvqanet novel surgical vqa model incorporating lightweight sceneembedded interaction module integrates geometric scene knowledge vqa model design employing crossattention textual scene features comprehensive analysis shows ssgvqa dataset provides complex diverse geometrically grounded unbiased surgical actionoriented dataset compared existing surgical vqa datasets ssgvqanet outperforms existing methods across different question types complexities highlight primary limitation current surgical vqa systems lack scene knowledge answer complex queries present novel surgical vqa dataset model show results significantly improved incorporating geometric scene features vqa model design point bottleneck current surgical visual questionanswer model lies learning encoded representation rather decoding sequence ssgvqa dataset provides diagnostic benchmark test scene understanding reasoning capabilities model source code dataset made publicly available httpsgithubcomcammapublicssgvqa