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Person Retrieval in Surveillance Using Textual Query: A Review
They help bridge the semantic gap between a human description and a machine as a textual query contains the person's soft biometric attributes.
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.
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