… Several typical level set methods are shown below. … In this dissertation, we propose an
automatic model to segment the tumors from brain MRI volume. The framework consists of three …

… technique, the traditional active contour model method is difficult … In this paper, a semi-automatic
segmentation of active contour … His research interest covers machine learning, pattern …

… Interval type-2 fuzzy sets can simultaneously model both intra… decision-making and machine
learning, then introduces basic … their typical applications in controls and machine learning. …

… [3] first put forward a deep learning method which is different … module are introduced into
the traditional U-Net network, and … UNet model for fully automated brain tumor segmentation is …

… There are four types of automatic brain tumor segmentation algorithms as … deep neural
network model proposes a novel approach to the problem of MRI brain image segmentation, and …

… fully automatic segmentation methods for brain tumor MRI … The common traditional
machine learning methods and the … brain tumor segmentation with integrated bayesian model …

… with a conventional method based on automated thresholding … On the other hand, more
traditional model-based methods do … This astrocyte segmentation routine uses a deep learning …

… Machine learning models have demonstrated remarkable accuracy in … , by automating the
data analysis process, machine learning … using traditional data processing tools or techniques. …

… hours to acquire whole-brain image stacks at high resolution. … has proven highly efficient
for automated detection, anatomical … , we performed LSFM-deep learning quantitative volume …