Leveraging advanced feature extraction for improved kidney biopsy segmentation

Leveraging advanced feature extraction for improved kidney biopsy segmentation

Medical image segmentation faces critical challenges in renal histopathology due to the intricate morphology of glomeruli characterized by small size, fragmented structures, and low contrast against complex tissue backgrounds. While the Segment Anything Model (SAM) excels in natural image segmentati...

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Bibliographic Details
Main Authors: Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
V-SAM
deep learning
adapter layer
Segment Anything Model
point-based prompt
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1591999/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1591999/full

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