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From Prompts to Pipelines: Evaluating LLM-Generated Medical Image Segmentation Baselines

Year: 2026

Type: article

Source: The Journal of Machine Learning for Biomedical Imaging

DOI: 10.59275/j.melba.2026-9369

Authors: Jasmin Arjomandi, Luisa Neubig, Franziska Mathis-Ullrich, Andreas M. Kist

Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg

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: W7141654071

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