Deep learning-based auto-segmentation of paraganglioma for growth monitoring

arXiv:2404.07952v1 Announce Type: cross
Abstract: Volume measurement of a paraganglioma (a rare neuroendocrine tumor that typically forms along major blood vessels and nerve pathways in the head and neck region) is crucial for monitoring and modeling tumor growth in the long term. However, in clinical practice, using available tools to do these measurements is time-consuming and suffers from tumor-shape assumptions and observer-to-observer variation. Growth modeling could play a significant role in solving a decades-old dilemma (stemming from uncertainty regarding how …

abstract arxiv auto clinical cs.cv cs.lg deep learning forms growth head however major measurement modeling monitoring practice segmentation tools type