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A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction
The paper covers the complete gamut of brain tumor segmentation using handcrafted features to deep neural network models for Task 1.
Glioblastoma Multiforme Patient Survival Prediction
We hypothesize that the radiomics shape features have the highest correlation with survival prediction.
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
The validation set dice score of the network is 0. 74, 0. 88, and 0. 73 for enhancing tumor, whole tumor, and tumor core, respectively.
Brain Tumor Segmentation and Survival Prediction
This architecture is used to train three tumor sub-components separately.
Prediction of Overall Survival of Brain Tumor Patients
Automated brain tumor segmentation plays an important role in the diagnosis and prognosis of the patient.
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