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Evaluating Segmentation Accuracy with Diverse Prompt Strategies in Medsam

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi60581.2025.10980865

Authors: Muhammad Nouman, Ghada Khoriba, Essam A. Rashed

Institutions: University of Hyogo, Nile University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4410296348

FWCI:

Cites: 13

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Related to: 10