NV Segment CT Description: NV Segment CT is a specialized interactive foundation model for 3D medical imaging. It excels in providing accurate and adaptable segmentation analysis across anatomies and modalities. Utilizing a multi head architecture, NV Segment CT adapts to varying conditions and anatomical areas, helping guide users' annotation workflow. This model is for research purposes and not for clinical usage. Training & Fine tuning : Visit GitHub for training code, fine tuning guides, continual learning examples, and comprehensive development documentation. Core to NV Segment CT are three workflows: Segment everything : Enables whole body exploration, crucial for understanding complex diseases affecting multiple organs and for holistic treatment planning. Segment using class : Provides detailed sectional views based on specific classes, essential for targeted disease analysis or organ mapping, such as tumor identification in critical organs. Segment point prompts : Enhances segmentation precision through user directed, click based selection. This interactive approach accelerates the creation of accurate ground truth data, essential in medical imaging analysis. Github link: h…
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