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This research aims to enhance medical image segmentation using fine-grained techniques for better generalization across domains.

May 7, 2026SensorsOpen Access

Fine-Grained Perception for Fundus and Prostate Medical Image Segmentation

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Proposed MedFineSAM improves segmentation in fundus and prostate images, highlighting generalization in medical applications.

This research aims to enhance medical image segmentation using fine-grained techniques for better generalization across domains.
Developed the MedFineSAM model with shared fine-grained structural enhancement and prompt gating mechanism.
Implemented structural continuity diffusion in frequency domain to smoothen decoding.
Conducted experiments on fundus and prostate MRI benchmarks to evaluate performance.
MedFineSAM demonstrated superior generalization performance compared to traditional models.
The model effectively captures anatomical details despite distribution shifts across imaging domains.

Ba et al. (2026) studied this question.

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