Symmetric Boundary-Enhanced U-Net with Mamba Architecture for Glomerular Segmentation in Renal Pathological Images

Accurate glomerular segmentation in renal pathological images is a key challenge for chronic kidney disease diagnosis and assessment. Due to the high visual similarity between pathological glomeruli and surrounding tissues in color, texture, and morphology, significant “camouflage phenomena” exist,...

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Bibliographic Details
Published in:	Symmetry (Basel) Vol. 17; no. 9; p. 1506
Main Authors:	Zhang, Shengnan, Cui, Xinming, Ma, Guangkun, Tian, Ronghui
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2025
Subjects:	Accuracy Ambiguity Chronic kidney failure Deep learning Diagnosis Efficiency Feature extraction Image processing Image reconstruction Image segmentation Kidney diseases Medical imaging Medical imaging equipment Modules Morphology Pathology Semantics
ISSN:	2073-8994, 2073-8994
Online Access:	Get full text
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