Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Raval, P S"'
Adversarial example (AE) aims at fooling a Convolution Neural Network by introducing small perturbations in the input image.The proposed work uses the magnitude and phase of the Fourier Spectrum and the entropy of the image to defend against AE. We d
Externí odkaz:
http://arxiv.org/abs/2110.13935
Autor:
Galiyawala, Hiren, Raval, Mehul S
Publikováno v:
Springer Multimedia Tools and Application, 2021
Recent advancement of research in biometrics, computer vision, and natural language processing has discovered opportunities for person retrieval from surveillance videos using textual query. The prime objective of a surveillance system is to locate a
Externí odkaz:
http://arxiv.org/abs/2105.02414
Autor:
Agravat, Rupal, Raval, Mehul S
Publikováno v:
Archives of Computational Methods in Engineering, Springer, 2021
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) image analysis. Highly variability of a brain tumor in terms of size
Externí odkaz:
http://arxiv.org/abs/2101.10599
Publikováno v:
2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)
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 difficult to detect and dissect the tumor regions. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2101.10589
Autor:
Agravat, Rupal, Raval, Mehul S
Publikováno v:
LNCS, Springer, 2021
Glioma, the malignant brain tumor, requires immediate treatment to improve the survival of patients. Gliomas heterogeneous nature makes the segmentation difficult, especially for sub-regions like necrosis, enhancing tumor, non-enhancing tumor, and Ed
Externí odkaz:
http://arxiv.org/abs/2008.11576
Autor:
Puelz, Charles, Danial, Zach, Marinaro, Jon, Raval, Jay S., Griffith, Boyce E., Peskin, Charles S.
This paper focuses on the derivation and simulation of mathematical models describing new plasma fraction in blood for patients undergoing simultaneous extracorporeal membrane oxygenation and therapeutic plasma exchange. Models for plasma exchange wi
Externí odkaz:
http://arxiv.org/abs/2006.06100
Autor:
Rajput, Snehal, Raval, Mehul S
Brain tumor segmentation intends to delineate tumor tissues from healthy brain tissues. The tumor tissues include necrosis, peritumoral edema, and active tumor. In contrast, healthy brain tissues include white matter, gray matter, and cerebrospinal f
Externí odkaz:
http://arxiv.org/abs/2006.01632
Publikováno v:
Image and Vision Computing, 2019
Visual appearance-based person retrieval is a challenging problem in surveillance. It uses attributes like height, cloth color, cloth type and gender to describe a human. Such attributes are known as soft biometrics. This paper proposes person retrie
Externí odkaz:
http://arxiv.org/abs/1910.14565
Autor:
Agravat, Rupal, Raval, Mehul S
Publikováno v:
BraTS 2019
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 along with dense connection at encoder part to propagate the informatio
Externí odkaz:
http://arxiv.org/abs/1909.09399
Autor:
Agravat, Rupal, Raval, Mehul S
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 overall survival. The main focus of this paper is to segment tumor fro
Externí odkaz:
http://arxiv.org/abs/1909.04596