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EATSeg is a tool designed to help clinicians and researchers quickly and efficiently carry out epicardia adipose tissue (EAT) research.

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TIMESlice (EATSeg)

TIMESlice is a tool designed to help clinicians and researchers quickly and efficiently carry out epicardia adipose tissue (EAT) related researches.

Docs and Download

https://slice-doc.netlify.app/ or https://mountainandmorning.github.io/

For more help, you can connect the developer by the e-mail ([email protected]) or scan the QR code in WeChat.

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Citation

Please cite the software by this paper:

Li, Xiaogang, et al. "Automatic quantification of epicardial adipose tissue volume." Medical Physics 48.8 (2021): 4279-4290.

v4.0

New

  • Added radiomics features extractor

Improved

  • Improved the stability.

v3.0

New

  • Added coronary centerline extraction module.
  • Added plaque analysis module.
  • Created a new documentation website.

Improved

  • Redesigned the UI.
  • Improved the stability.

v2.0

Improved

  • Rewrite the whole software by javascript
  • The speed and stability are both highly improved
  • The name is changed to Slice.

v0.3

Improved

  • Retrain pericardium segmentation deep learning model on a larger dataset.
  • Reduce the memory consumption when segmenting the pericardium.
  • Change the database location to the app data folder. For Windows this folder is ~/AppData/Local/EATSeg. For MacOS this folder is ~/Library/Application Support/EATSeg.

Fixed

  • The export function can not work normally. Fixed.

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EATSeg is a tool designed to help clinicians and researchers quickly and efficiently carry out epicardia adipose tissue (EAT) research.

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