Real Time Multi Organ Classification on Computed Tomography Images

arXiv:2404.18731v1 Announce Type: cross
Abstract: Organ segmentation is a fundamental task in medical imaging, and it is useful for many clinical automation pipelines. Typically, the process involves segmenting the entire volume, which can be unnecessary when the points of interest are limited. In those cases, a classifier could be used instead of segmentation. However, there is an inherent trade-off between the context size and the speed of classifiers. To address this issue, we propose a new method that employs a …

abstract arxiv automation cases classification classifier clinical cs.ai cs.cv cs.lg fundamental images imaging medical medical imaging pipelines process segmentation type