… T1-CE images highlight tumor borders and FLAIR images … of MRI imageprocessing is to locate and classify braintumors, T1-… Most of the recent braintumor classification studies using …
W Liang, Y Zheng, J Zhang, X Sun - BMC bioinformatics, 2019 - Springer
… cells to drug treatment has rarely been mechanistically studied. Therefore, a multiscale model is required to investigate such complex biological systems that contain interactions and …
… II, we illustrate the rationale of multiscalebrainmodeling and review the main research lines and challenges. These arguments allow the introduction of multilayer network theory to …
M Chen, Y Wu, J Wu - … Stroke and Traumatic Brain Injuries: 5th International …, 2020 - Springer
… can be further used in other research (eg tumor size calculation, tumor shape analysis, … aggregates multi-scale predictions from the decoder part of 3D U-Net in braintumor segmentation…
… imaginganalysis for full assistance of neuroradiology during clinical diagnosis. We propose, in this paper, an efficient and fully automatic deep multi-scale three-… The principal research …
… for characterization of neuroimaging data of braintumor patients. We have … studies have provided evidence of noninvasive comprehensive multiscale characterization of a tumor's …
R Rahmat, K Saednia, MRHH Khani, M Rahmati… - Computers in biology …, 2020 - Elsevier
… Our research work to date confirms the clinical utility of p and q maps for the assessment of … a researcher with > 4 years of braintumorimageanalysis experience (NRB). Segmentations …
… A multiscale and multidisciplinary approach as proposed in this article paves new ways to study the brain and spinal cord, and more importantly, to better understand the non-invasive …
X He, W Xu, J Yang, J Mao, S Chen… - Frontiers in Neuroscience, 2021 - frontiersin.org
… images are utilized as a data carrier to study the segmentation of glioma, which has the greatest risk of malignancies in braintumors… braintumors, many researchers have studied the …