PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 15, 2025Electronics0 citationsOpen Access

Prototype-Guided Segmentation of Retinal Lesions Using Coarse Annotations

Prototype-Guided Promptable Retinal Lesion Segmentation from Coarse Annotations

View Full Paper

Authors

QYQinji YuXDXiaowei Ding

Discussion

Loading...

Member takes

Overview

This approach demonstrates improved segmentation accuracy for retinal lesions using prototype learning and coarse annotations, indicating potential clinical applications.

Key Points

  • Prototype-based segmentation significantly enhances accuracy for retinal lesions, especially under coarse annotations.
  • Our model achieves superior performance over fully supervised methods with improved adaptability to variable lesions.
  • Using a U-Net backbone and a superpixel-guided weighting module minimizes background interference during segmentation.
  • This method emphasizes the effectiveness of prompt-based solutions in facilitating efficient medical image analysis.
Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yu et al. (2025) studied this question.

synapsesocial.com/papers/68af4cd8ad7bf08b1ead6480https://doi.org/10.3390/electronics14163252
Ask AI
Helpful
Bookmark
Share
View Full Paper