Developing the capacity to annotate massive volumes of data while maintaining quality is a function of the model development lifecycle that enterprises often underestimate. It’s resource intensive and requires specialized expertise. At the heart of any successful machine learning/artificial intelligence (ML/AI) initiative is a commitment to high-quality training data and a pathway to quality data… Read More »
Methodological workflow. From left to right, the process of image cropping, feature detection, feature quantification, model training, and classification is demonstrated. Interbody cages have been covered. Credit: Journal of Neurosurgery: Spine (2022), DOI: 10.3171/2022.11.SPINE221009 Identifying previously placed spinal hardware can be difficult and time consuming when a patient needs revision surgery. Detailed information on the… Read More »
Microsoft recently introduced a new User Interface (UI) for developers called Vision Studio to try its Computer Vision API. The Computer Vision API is a part of Microsoft’s Cognitive Services offering in Azure. The API provides access to advanced algorithms for processing media and returning information. Azure’s Computer Vision algorithms can analyze visual content differently… Read More »