fluorescence tracker app

版本 4.0.0.0 (57.6 mb) 作者:
this app uses computer vision point tracking to quantify near infrared signals emitted by indocyanine green during fluorescence angiography.

167.0 次下载

更新时间 2023/5/12

来自 github

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this app uses computer vision point tracking to quantify near infrared signals emitted by (icg) indocyanine green during fluorescence angiography. short overview videos of how to use this app can be found in the .

the following research in colorectal cancer was carried out using this software: by jeffrey dalli et al., ucd centre for precision surgery, school of medicine, university college dublin, ireland (2021).

this research is also highlighted in the article .

requirements

  • matlab r2020b (or newer)
  • image processing toolbox, computer vision toolbox, and statistics and machine learning toolbox
  • please see the for video format requirements

installation and setup

  • download/navigate to the installer file (fluorescence tracker.mlappinstall)
  • double-click on the installer file
  • click "install" when prompted in matlab
  • the app will then appear in the apps tab in matlab
  • the app source code can then be found in the installation folder specified by your matlab add-ons preferences (or by querying the )
  • please see the for more information
  • three reference examples are also included (independent of the app):
    • featuretrackingusingkltexample.mlx
    • imageregistrationexample.mlx
    • fluorescenceclassification.mlx

references

引用格式

paul huxel (2023). fluorescence tracker app (https://github.com/mathworks/fluorescence-tracker-app/releases/tag/v4.0.0), github. 检索来源 .

matlab 版本兼容性
创建方式 r2020b
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版本 已发布 发行说明
4.0.0.0

see release notes for this release on github:

3.1.0.0

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3.0.0.0

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2.0.0.0

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1.6

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1.5

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1.4

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1.3

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1.2

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1.1

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1.0
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