29 citations · 35 across the 2 of their papers we have counts for
6 papers
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…
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…
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…
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…
Prediction of Overall Survival of Brain Tumor Patients
Rupal Agravat, Mehul S Raval
Automated brain tumor segmentation plays an important role in the diagnosis and prognosis of the patient. In addition, features from the tumorous brain help in predicting patients…
Simulated Annealing for Location Area Planning in Cellular networks
N. B. Prajapati, R. R. Agravat, M. I. Hasan
LA planning in cellular network is useful for minimizing location management cost in GSM network. In fact, size of LA can be optimized to create a balance between the LA update rat…