xiawei999000/GBM_PCNSL_CNN_modeling
Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI based Convolutional Neural Network Model
This project helps radiologists and neurologists automatically distinguish between Primary Central Nervous System Lymphoma (PCNSL) and Glioblastoma (GBM) using multi-parametric MRI scans. It takes raw MRI images as input, processes them, and then provides a differential diagnosis, aiding in quicker and more accurate clinical decisions. It's designed for medical professionals involved in brain tumor diagnosis.
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Use this if you are a radiologist or neurologist looking for an AI-powered tool to assist in the differential diagnosis of PCNSL and GBM from patient MRI data.
Not ideal if you need a tool for diagnosing other types of brain tumors or conditions beyond PCNSL and GBM.
Stars
14
Forks
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Language
R
License
GPL-3.0
Category
Last pushed
Mar 20, 2021
Commits (30d)
0
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