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LDFSAM:医療画像セグメンテーションのための局在化蒸留強化特徴プロンプティングSAM

Xuanbo Zhao1, Cheng Wang1,2, Huaxing Xu3

  • 1College of Intelligent Robotics and Advanced Manufacturing, College of Future Information Technology, College of Biomedical Engineering, Fudan University, Shanghai 200433, China.

Journal of imaging
|February 26, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
知識蒸留医療画像セグメンテーションマルチスケール特徴融合セグメント・エニシング・モデル

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Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.
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