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20182021
most citedA Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction

29 citations · 50 across the 3 of their papers we have counts for

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5 papers · 1 filter

eess.IV2021

Glioblastoma Multiforme Patient Survival Prediction

Snehal Rajput, Rupal Agravat, Mohendra Roy +1

Glioblastoma Multiforme is a very aggressive type of brain tumor. Due to spatial and temporal intra-tissue inhomogeneity, location and the extent of the cancer tissue, it is diffic…

eess.IV202129 cited

A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction

Rupal Agravat, Mehul S Raval

Glioma is the most deadly brain tumor with high mortality. Treatment planning by human experts depends on the proper diagnosis of physical symptoms along with Magnetic Resonance(MR…

eess.IV2020

3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction

Rupal Agravat, Mehul S Raval

Glioma, the malignant brain tumor, requires immediate treatment to improve the survival of patients. Gliomas heterogeneous nature makes the segmentation difficult, especially for s…

eess.IV2020

A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction

Snehal Rajput, Mehul S Raval

Brain tumor segmentation intends to delineate tumor tissues from healthy brain tissues. The tumor tissues include necrosis, peritumoral edema, and active tumor. In contrast, health…

eess.IV2019

Brain Tumor Segmentation and Survival Prediction

Rupal Agravat, Mehul S Raval

The paper demonstrates the use of the fully convolutional neural network for glioma segmentation on the BraTS 2019 dataset. Three-layers deep encoder-decoder architecture is used a…