FATCALC imageJ

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Last Update: 2017-10-22

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FATCALC-ImageJ is an ImageJ macro (fully
automated) for unsupervised fat segmentation in magnetic resonance imaging. It was developed for GE T1 2-points Dixon sequences (fat only image).
FATCALC independently evaluates the volumes of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT).

Features

unsupervised FAT segmentation
VAT and SAT separation
freeware and shareble

Project Samples

result of FATCALC segmentation

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Java, JavaScript

Registered

2017-04-05

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Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.

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