no code implementations • 5 Sep 2023 • Blake VanBerlo, Brian Li, Jesse Hoey, Alexander Wong
In this study, we investigated whether self-supervised pretraining could produce a neural network feature extractor applicable to multiple classification tasks in B-mode lung ultrasound analysis.
no code implementations • 5 Apr 2023 • Blake VanBerlo, Brian Li, Alexander Wong, Jesse Hoey, Robert Arntfield
This study investigates the utility of self-supervised pretraining prior to conducting supervised fine-tuning for the downstream task of lung sliding classification in M-mode lung ultrasound images.
no code implementations • 23 Jan 2023 • Brian Li, Steven Palayew, Francis Li, Saad Abbasi, Saeejith Nair, Alexander Wong
There can be numerous electronic components on a given PCB, making the task of visual inspection to detect defects very time-consuming and prone to error, especially at scale.