3 papers
cs.AI2026
Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
Rut Pate, Snehal Rajput, Mehul S. Raval +2
Gliomas, among the most common primary brain tumors, vary widely in aggressiveness, prognosis, and histology, making treatment challenging due to complex and time-intensive surgica…
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.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…