Brain tumor segmentation model is an automated solution for detecting Brain tumors from 3D MRI data.This model needs less time for tumor detection compared to manual process. Since the process is automated there are less chances of errors. This method can aid doctors in diagnosis, monitoring and treatment planning for tumors. The model uses a Neural network for tumor detection task. The MRI image will be accepted as input and will produce output which highlights the whole tumor and the tumor core for easy diagnosis.Several experiments were conducted which included Data Preprocessing, Regularization and Optimization techniques for producing accurate results.
Input variables : Magnetic Resonance Image(MRI) of patient
Output Variables : Brain tumor segmentation
Visit Model : arxiv.org
Additional links : arxiv.org
| Model Category | : | Public |
| Date Published | : | October, 2018 |
| Healthcare Domain | : |
Medical Technology
Provider |
| Code | : | github.com |
| Health Risk Management |
| Disease Detection |