Work

SwinDiff_DAS: Data Augmentation for Segmentation of the Urinary Collecting System Based on the Shift-Window Transformer and Diffusion Model

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi60581.2025.10980941

Authors: Hongkun Yu, Jamal Gardezi, Paige Zuber, Andrew L. Wentland

Institution: University of Wisconsin–Madison

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: W4410296400

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