Automated brain tumor segmentation on MR images based on neutrosophic set approach
J Mohan,V Krishnaveni,Yanhui Huo +2 more
- pp 1078-1083
TLDR
This proposed technique includes non local preprocessing, fuzzy intensification to enhance the quality of the MR images, k-means clustering method for brain tumor segmentation, and the preliminary results show 100% detection rate in all 20 test sets.Abstract:
Brain tumor segmentation for MR images is a difficult and challenging task due to variation in type, size, location and shape of tumors. This paper presents an efficient and fully automatic brain tumor segmentation technique. This proposed technique includes non local preprocessing, fuzzy intensification to enhance the quality of the MR images, k-means clustering method for brain tumor segmentation. The results are evaluated based on accuracy, sensitivity, specificity, false positive rate, false negative rate, Jaccard similarity metric and Dice coefficient. The preliminary results show 100% detection rate in all 20 test sets.read more
Citations
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Journal ArticleDOI
Combined endeavor of Neutrosophic Set and Chan-Vese model to extract accurate liver image from CT scan
TL;DR: A novel approach is proposed to meet challenges in extracting the exact liver image from abdominal CT scan images and is effective, robust and comparable with existing algorithm for liver segmentation ofCT scan images.
Journal ArticleDOI
Brain tumor segmentation in multimodal MRI images using novel LSIS operator and deep learning
Journal ArticleDOI
A Novel Neutrosophic Subsets Definition for Dermoscopic Image Segmentation
TL;DR: An accurate segmentation process was developed by mapping initially the dermoscopic images to the neutrosophic set (NS) domain, and the results depicted the superiority of using an unsharp filter in implementing the $I$ subset.
Journal ArticleDOI
Detection and Identification of Tumor Region from MRI Brain Image using Image Segmentation
TL;DR: This analysis is concentrated towards highlight the strength and limitations of earlier projected classification techniques mentioned within the up to date literature and an important analysis of the surveyed literature that reveals new sides of analysis.
Proceedings ArticleDOI
An automated method of segmentation for tumor detection by neutrosophic sets and morphological operations using MR images
Gursangeet Kaur,Hardeep Kaur +1 more
TL;DR: Ne neutrosophic sets based segmentation is performed to detect the tumor and true, false and indeterminacy values of tumor are determined and the proposed method produce the beholden results.
References
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Some methods for classification and analysis of multivariate observations
TL;DR: The k-means algorithm as mentioned in this paper partitions an N-dimensional population into k sets on the basis of a sample, which is a generalization of the ordinary sample mean, and it is shown to give partitions which are reasonably efficient in the sense of within-class variance.
Journal ArticleDOI
A Review of Image Denoising Algorithms, with a New One
TL;DR: A general mathematical and experimental methodology to compare and classify classical image denoising algorithms and a nonlocal means (NL-means) algorithm addressing the preservation of structure in a digital image are defined.
Book Chapter
A Unifying Field in Logics: Neutrosophic Logic.
TL;DR: The author makes an introduction to non-standard analysis, then extends the dialectics to neutrosophy which became a new branch of philosophy, which is the first logic that comprises paradoxes and distinguishes between relative and absolute truth.
Journal ArticleDOI
MRI segmentation: Methods and applications
Laurence P. Clarke,R.P. Velthuizen,M.A. Camacho,John J. Heine,M. Vaidyanathan,Lawrence O. Hall,R.W. Thatcher,Martin L. Silbiger +7 more
TL;DR: The application of MRI segmentation for tumor volume measurements during the course of therapy is presented here as an example, illustrating problems associated with inter- and intra-observer variations inherent to supervised methods.
Book
A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability
TL;DR: It was a surprise for me when in 1995 I received a manuscript from the mathematician, experimental writer and innovative painter Florentin Smarandache that introduced two new concepts: a) "neutrosophy" - study of neutralities as an extension of dialectics; b) and its derivative "neUTrosophic", opening new ways of research in four fields: philosophy, logics, set theory, and probability/statistics.
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