The overall architecture of GlomSAM.

The overall architecture of GlomSAM.

<div><p>In nephrology research, multi-glomerular segmentation in immunofluorescence images plays a crucial role in the early detection and diagnosis of chronic kidney disease. However, obtaining accurate segmentations often requires labor-intensive annotations and existing methods are ha...

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Bibliographic Details
Main Author: Shengyu Pan (21087787) (author)
Other Authors: Xuanli Tang (11101114) (author), Bingxian Chen (12985085) (author), Xiaobo Lai (8410188) (author), Wei Jin (87150) (author)
Published: 2025
Subjects:
Biotechnology
Marine Biology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
rough mask generator
low recall rates
immunofluorescence pathology domain
immunofluorescence images plays
extensive comparative experiments
demonstrated promising performance
chronic kidney disease
art performance surpassing
ablation studies show
several segmentation tasks
final segmentation results
hybrid customized sam
glomerular segmentation model
glomerular segmentation
glomerular detection
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transformer structures
transfer learning
relevant research
provide insights
pathological analysis
nephrology research
limited accuracy
interesting work
intensive annotations
existing methods
employ sam
early detection
crucial role
convolution networks
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