junjianli106/LANPC
Radiotherapy and Oncology 2025 | Deep Learning Radiopathomic Model for Locally Advanced Nasopharyngeal Carcinoma
This project helps radiation oncologists and medical researchers predict overall survival for patients with locally advanced nasopharyngeal carcinoma. It takes pretreatment MRI scans and whole slide images (WSIs) of pathology samples as input, producing a risk score and stratifying patients into high-risk and low-risk groups. This allows for more personalized prognosis assessment.
No commits in the last 6 months.
Use this if you are a medical researcher or clinician working with nasopharyngeal carcinoma patients and want to leverage advanced imaging and pathology data to predict patient survival.
Not ideal if you need a diagnostic tool for initial cancer detection or a model for other cancer types beyond locally advanced nasopharyngeal carcinoma.
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10
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1
Language
Python
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Category
Last pushed
Jun 13, 2025
Commits (30d)
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