Gaze-guided medical image segmentation: a training-free approach using SAM foundation model

Giulia Gabriëlla Pötgens, Rutger Hendrix, Cian Scannell, Ulas Bagci, Concetto Spampinato, Federica Proietto Salanitri

IEEE EMBC 20252025

Cite this work

Giulia Gabriëlla Pötgens, Rutger Hendrix, Cian Scannell, Ulas Bagci, Concetto Spampinato, Federica Proietto Salanitri (2025). Gaze-guided medical image segmentation: a training-free approach using SAM foundation model. IEEE EMBC 2025

BibTeX

Cite this work

Related publications

Validating synthetically generated medical scans through human perceptual assessment & eye-tracking

GazeVaLM: a multi-observer eye-tracking benchmark for evaluating clinical realism in AI-generated x-rays

EyeAssist: how clinical context modulates expert gaze in volumetric reading and prognostic decision-making

NeoGaze: whose gaze counts? expertise, clinical information, and attention in neonatal radiology

Matched outcomes, divergent gaze: how foveated MLLMs search compared to humans