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Collection and fuzzy estimation of truth labels in glial tumour segmentation studies

Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi
2014 Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization  
A set of experiments was conceived and conducted to evaluate the contribution of the solutions proposed in the process of truth label collection and reference data estimation.  ...  In particular, a reference estimation strategy based on fuzzy connectedness principles is designed to merge individual labels and in a common/mutual segmentation.  ...  GliMAn Design and Architecture GliMAn is a MATLAB application for the collection of manual labels and and for the estimation of simultaneous truth in MRI Glial Tumor segmentation studies.  ... 
doi:10.1080/21681163.2014.947006 fatcat:566euy22m5b33ogdw2xyjris7m

Automated glioma detection and segmentation using graphical models

Zhe Zhao, Guan Yang, Yusong Lin, Haibo Pang, Meiyun Wang, Jie Tian
2018 PLoS ONE  
This paper presents a probabilistic method for detection and segmentation between abnormal tissue regions and brain tumour (tumour core and edema) portions from Magnetic Resonance Imaging (MRI).  ...  The experiments performed provides similarity between segmented and truth image up to 91.5% by correlation method.  ...  Acknowledgments This research has been conducted using the BRATS 2013 data set, the BRATS 2015 data set, and the HNPPH data set. The authors wish to thank all data sets participants and staff.  ... 
doi:10.1371/journal.pone.0200745 pmid:30130371 fatcat:vzmsb2pnhrhy7ieaswedc7mx3a

MRI Brain Image Segmentation using Modified Fuzzy Logic Clustering (MFLC)

Reda Shbib, Lebanese International University
2019 International Journal of Engineering Research and  
However, ensuring an efficient and accurate segmentation is a challenging task due to the different tissues in the brain that varies in shape and size.  ...  Brain Tumor is a development of abnormal cells in the tissues of the brain and could be life menacing. It has critical impact on the person's emotions, personality and quality of life.  ...  Cui [19] introduced a local based fuzzy clustering with spatial data to construct an objective of medical image segmentation and bias field in order to estimate the MRI images.  ... 
doi:10.17577/ijertv8is060438 fatcat:yguku4vm7rdnvmmmkjrpltcze4

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern H. Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth Gerstner (+56 others)
2015 IEEE Transactions on Medical Imaging  
In order to overcome this difficulty, both joint registration and tumor segmentation [18] , [30] and joint registration and estimation of tumor displacement [31] have been studied.  ...  methods in terms of segmentation of other tumour regions (in all statistics) for both training and test cases.  ... 
doi:10.1109/tmi.2014.2377694 pmid:25494501 pmcid:PMC4833122 fatcat:csrnfqc4i5eilh7wk5howvpr4u

Novel Volumetric Sub-region Segmentation in Brain Tumors

Subhashis Banerjee, Sushmita Mitra
2020 Frontiers in Computational Neuroscience  
The proposed MPS-CNN is found to perform the best (based on leaderboard scores) for ET and TC segmentation tasks, in terms of both the quantitative measures (viz. Dice and Hausdorff).  ...  In case of the WT segmentation it also achieved the second highest accuracy, with a score which was only 1% less than that of the best performing method.  ...  Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection.  ... 
doi:10.3389/fncom.2020.00003 pmid:32038216 pmcid:PMC6993215 fatcat:7clvk46kz5cptbwtusucyh76fm

An innovative mathematical analysis of routine MRI scans in patients with glioblastoma using DoctorEye

Jonathan Zepp, Norbert Graf, Holger Stenzhorn, Wolfgang Reith, Ioannis Karatzanis, Georgios C. Manikis, Vangelis Sakkalis, Konstantinos Marias, Georgios Stamatakos
2012 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)  
In the study published by Ertl-Wagner et al. in 2009 the authors assessed the reliability of tumor volume estimation by two semi-automatic segmentation methods and a manual method, comparing the results  ...  or reaction to different treatment strategies and in the estimation of prognosis and survival.  ... 
doi:10.1109/bibe.2012.6399773 dblp:conf/bibe/ZeppGSRKMSMS12 fatcat:zesgn7ywybh5zhspz4oq5xowg4

American Association of Neuropathologists, Inc. Abstracts of the 97th Annual Meeting June 10-13, 2021 St. Louis, Missouri

2021 Journal of Neuropathology and Experimental Neurology  
Interestingly, iPSC-derived FTD neurons also had a significant effect on the survival of host neurons and on glial cell responses when transplanted into the brains of immunocompromised mice indicating  ...  Amongst others, we found significant changes in pathways related to cell metabolism and neuroinflammation in patient neurons that we tested further in a stem cell model of FTD using patient-derived and  ...  Focal segmental Purkinje cell loss and Bergman gliosis were identified in the cerebellum.  ... 
doi:10.1093/jnen/nlab042 pmid:34087938 fatcat:rgowg3kxi5ghpbylpalr2rxkj4

Classification-based glioma diffusion modeling

Marianne Morris
Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer.  ...  In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted.  ...  per patient in order to estim ate the growth rate o f the tumour.  ... 
doi:10.7939/r3-ca67-ra47 fatcat:frl24xqfvfb2ljorrcyttbcjxa

Machine Learning Methods for Brain Lesion Delineation [article]

Kevin Raina, University, My
In the last two chapters, we propose a confidence-based approach to measure segmentation uncertainty, and apply an unsupervised segmentation method based on mutual information.  ...  Brain lesions have a high degree of variability in terms of location, size, intensity and form, which makes diagnosis challenging.  ...  ., and Comi, G. (1995). Resolution-dependent estimates of lesion volumes in magnetic resonance imaging studies of the brain in multiple sclerosis.  ... 
doi:10.20381/ruor-25380 fatcat:svl2aism3ncphnmo2plphjib2q

Connectivity-Driven Parcellation Methods for the Human Cerebral Cortex [article]

Salim Arslan
2018 arXiv   pre-print
Second, we cast the parcellation problem as a feature reduction problem and make use of manifold learning and image segmentation techniques to identify cortical regions with distinct structural connectivity  ...  In this thesis, we present robust and fully-automated methods for the subdivision of the entire human cerebral cortex based on connectivity information.  ...  Acknowledgements I would like to first of all thank my supervisor Daniel Rueckert for giving me the opportunity  ... 
arXiv:1802.06772v1 fatcat:zeu6okppcnbhjakwyoe3gf64pi

Ramses, Ein Universelles Verarbeitungs- und Informations-System in der NMR-Diagnostischen Medizin [chapter]

Thomas Tolxdorff, Lutz Felsberg, Bernd Mecking, Klaus Gersonde
1986 GI — 16. Jahrestagung II  
In: Proceedings in applied mathematics and mechanics : PAMM [Weinheim] 4(2004), S. 223 224, [Elektronische Ressource] Lefevre, Jean ; Gabbert, Ulrich Simulation of piezoelectric smart lightweight structures  ...  .) ; Bertram, Albrecht An endochronic viscoplastic approach for materials with different behavior in tension and compression.  ...  (Hrsg.): Enhancing the power of the internet. Berlin : Springer, 2004, S. 347 358 (Studies in fuzziness and soft computing 139) : Berger, Martijn (Hrsg.) ; ...  ... 
doi:10.1007/978-3-642-71389-7_50 dblp:conf/gi/TolxdorffFMG86 fatcat:o5u645j3yfe3limou5zoprhkoy

Hair curvature: a natural dialectic and review

Joseph N. Nissimov, Asit Baran Das Chaudhuri
2014 Biological Reviews  
(B) Microscopic image of a bent and twisted hair segment represented by the boxed region b in (A).  ...  studies.  ... 
doi:10.1111/brv.12081 pmid:24617997 fatcat:qiyajpaynjhv3mhrsbhlaz5jle

Heterogeneous Populations in B Cell Memory Responses and Glioblastoma Growth

Lisa Franziska Buchauer
Blood used in the study discussed below was collected seven days after each of these infections (see figure 4 .1a).  ...  Epidemiology and Pathology of Glioblastoma Tumours of the central nervous system comprise heterogeneous groups of benign and malignant neoplasias, most of which are of glial origin and thus called gliomas  ... 
doi:10.11588/heidok.00025541 fatcat:m7tcc7uwdrf5tjidg4nbs7gjeu

Estimation of grey and white matter and whole cerebral hemisphere volume by using the Cavalieri slices method in combination with 3D MR imaging

Victoria McNulty
image processing........ ...cccccccescssces sceseeeseeeseeesce sseessccsseesseees s Automatic extraction of GM and WM ..........ceeeessese esseeseeseeseenseees SAN 2S PIM atid WEIEM 5 oxccsccostacteeoctaa  ...  sedes-hedecuctessabc neasasdedasdedveGsat eossvesbaosaes GAZ SSUCECOLOSV IN, srafeegectcr tea rcaz sn istou Mer satt sone Soewesenaservndbtnowse l Senavensazessandbved s Bo)!  ...  for her assistance in the preparation of Figure 2 .  ... 
doi:10.17638/03146587 fatcat:5ctkiewzvrgehpvebpqp435d3a

Abstracts of Posters Presented at the International Anesthesia Research Society 80th Clinical and Scientific Congress San Francisco, California March 24-28, 2006

2006 Anesthesia and Analgesia  
of synthesis and release of IL-1β and TNFα from glial cells.  ...  The apoptotic neuronal and glial cells, the concentrations of IL-1β and TNFα were significant lower and the glial cells show no significant growth or swelling in the GK 2 group than in Group G.  ...  EAMG in the rat could provide a useful model to study efficacy of drugs and other forms of therapy in the treatment of myasthenia gravis.  ... 
doi:10.1213/01.ane.0000408553.72871.92 fatcat:tp4izd456rafdagsdswfkp2wya
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