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Updated: Jul 5, 2025

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
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基于视觉提示的增量学习,用于多重复的免疫-光显微镜图像的语义细分

Ryan Faulkenberry1, Saurabh Prasad1, Dragan Maric2

  • 1Department of Electrical Engineering, University of Houston, 4226 Martin Luther King Boulevard, Houston, 77204, Texas, United States.

Research square
|January 18, 2024
PubMed
概括

这项研究引入了医疗图像细分的增量深度学习框架,显著提高了精度,最小的专家注释. 这种方法提高了效率,并优于复杂的高分辨率图像的传统方法.

关键词:
图像细分 图像细分 图像细分增量学习是一种增量学习.变压器 变压器

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相关概念视频

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...
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