GhTara/Dose_Prediction
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
This project helps radiation oncologists and medical physicists more accurately and efficiently plan radiotherapy treatments for head and neck cancer patients. It takes a patient's CT images and tumor (PTV) information to automatically segment critical organs at risk (OARs) and then predict a detailed 3D dose distribution map. The output is a precise dose plan, streamlining a complex part of cancer treatment.
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Use this if you need to rapidly and precisely predict 3D dose distributions for head and neck cancer radiotherapy based on patient CT scans and PTVs.
Not ideal if you are working with other cancer types or require a dose prediction model that is not specifically optimized for head and neck anatomy.
Stars
30
Forks
4
Language
Python
License
—
Last pushed
Jan 21, 2024
Commits (30d)
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