This is a single-centre, prospective, non-randomised volunteer study to be undertaken in Intelligent Ultrasound's offices at Hodge House, 114-116 St Mary Street, Cardiff, CF10 1DY, UK.
This is a single-centre, non-randomised, prospective study involving up to 100 participants. The data collected in this study will augment the data collected in ML2018\_AG\_01, ML2018\_AG\_02, IU2019\_AG\_03, and IU2020\_AG\_04. Phase I Collect data from participants for each indicated block area. This set will be used to develop and verify models for the identification and highlighting of target anatomical structures on ultrasound images. Phase II Validation will proceed by feeding the videos into the ScanNav AnatomyGuide system and recording the output anatomy highlighting, overlaid on the original ultrasound image. The overlaid video will be examined by experts to identify safety and performance issues.
Study Type
OBSERVATIONAL
Enrollment
100
Intelligent Ultrasound Limited
Cardiff, Wales, United Kingdom
Change in per-class Mean Intersection over Union (IoU) scores of deep-learning segmentation models compared to baseline models
The mean Intersection over Union will be computed for each class for each model trained with the enlarged dataset, using the existing unseen test data set. These scores will be compared with the scores from the existing baseline models to determine the effect of the enlarged training data
Time frame: 6 months
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