AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

arXiv:2308.14936v3 Announce Type: replace
Abstract: Segment Anything Model (SAM) is one of the pioneering prompt-based foundation models for image segmentation and has been rapidly adopted for various medical imaging applications. However, in clinical settings, creating effective prompts is notably challenging and time-consuming, requiring the expertise of domain specialists such as physicians. This requirement significantly diminishes SAM's primary advantage - its interactive capability with end users - in medical applications. Moreover, recent studies have indicated that SAM, originally designed for 2D …

abstract applications arxiv automated clinical cs.ai cs.cv domain expertise foundation however image imaging medical medical imaging multi physicians prompt prompting prompts replace sam segment segment anything segment anything model segmentation type