Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Oct 2026

MSA-SAM: A Decoder Enhancement Framework for 3D Tumor Segmentation Based on Segment Anything

Accurate tumor segmentation in 3D medical images is essential for clinical diagnosis, treatment planning, and prognosis. However, this task remains challenging due to low contrast, irregular morphology, and indistinct boundaries. Most Segment Anything Model (SAM)-based medical imaging studies focus on improving the enc...

Yang Yan, Nan-Nan Li, Wen-Bo Huang · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.