nadeemlab/CIR
Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
This tool helps radiologists and researchers analyze CT scans of lung nodules to identify features like spiculations and lobulations, which are crucial for lung cancer diagnosis. It takes raw CT images of lung nodules as input and outputs detailed annotations of these features, along with a prediction of malignancy. It is designed for clinical researchers and radiologists working on lung cancer screening and diagnosis.
No commits in the last 6 months.
Use this if you need to accurately quantify and classify clinically reported features like spiculations and lobulations on lung nodules from CT images and use them for malignancy prediction.
Not ideal if you are looking for a general-purpose medical image analysis tool that doesn't focus specifically on lung nodule morphology or malignancy prediction.
Stars
40
Forks
7
Language
Python
License
—
Category
Last pushed
Feb 09, 2023
Commits (30d)
0
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