The article discusses the future of analyzing medical imagery with the use of Visual AI applications, specifically focusing on the healthcare industry. It highlights the importance of accurate medical imagery and diagnostic tools in providing the best treatment for patients. The article also mentions the use of Nvidia’s Medical Foundation Model, VISTA-3D, to automatically segment CT scans.
The tutorial provided in the article demonstrates how to leverage VISTA-3D to segment CT scans automatically, starting with collecting data and bringing it into FiftyOne. The process involves loading CT scans, slicing them, and creating videos, then adding metadata and classifications to the samples. The article also explains how to use the TotalSegmentator dataset and the NiBabel library for this purpose.
Furthermore, the article delves into using the Nvidia VISTA-3D model to segment CT scans by passing them through an API and adding segmentation maps to each frame. The process includes extracting segmentation data from the API response and adding it to the samples for visualization.
In conclusion, the article showcases the powerful performance of the VISTA-3D model in handling various types of CT scans and anomalies like tumors. It emphasizes the potential of advanced healthcare models to revolutionize the field and improve treatment outcomes. The author expresses excitement for future advancements in healthcare models that could further enhance medical practices.
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Source link: https://medium.com/voxel51/segment-anything-in-a-ct-scan-with-nvidia-vista-3d-6be9720e35f3?source=rss——artificial_intelligence-5