scholarly journals Advancing brain tumor epidemiology – multi-level integration and international collaboration: The 2018 Brain Tumor Epidemiology Consortium meeting report

2018 ◽  
Vol 37 (6) ◽  
pp. 254-261 ◽  
Author(s):  
Kimberly J. Johnson ◽  
Helle Broholm ◽  
Michael E. Scheurer ◽  
Ching C. Lau ◽  
Johannes A. Hainfellner ◽  
...  
Keyword(s):  
Brain Tumor ◽  
International Collaboration ◽  
Meeting Report ◽  
Multi Level

Brain tumor disparities: From biology to social determinants - The 2019 Brain Tumor Epidemiology Consortium meeting report

2019 ◽  
Vol 38 (11) ◽  
pp. 297-305
Author(s):  
Kimberly J. Johnson ◽  
Luc Bauchet ◽  
Johannes A. Hainfellner ◽  
Carol Kruchko ◽  
Michael E. Scheurer ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Social Determinants ◽  
Meeting Report

scholarly journals Framework for comprehensive enhancement of brain tumor images with single-window operation

2020 ◽  
Vol 10 (1) ◽  
pp. 801
Author(s):  
Deepthi Murthy T. S. ◽  
Sadashivappa G.
Keyword(s):  
Brain Tumor ◽  
Image Enhancement ◽  
Medical Image ◽  
Significant Contribution ◽  
Linear Filter ◽  
Radiological Images ◽  
Multi Level ◽  
Image Enhancing ◽  
Non Linear Filter

Usage of grayscale format of radiological images is proportionately more as compared to that of colored one. This format of medical image suffers from all the possibility of improper clinical inference which will lead to error-prone analysis in further usage of such images in disease detection or classification. Therefore, we present a framework that offers single-window operation with a set of image enhancing algorithm meant for further optimizing the visuality of medical images. The framework performs preliminary pre-processing operation followed by implication of linear and non-linear filter and multi-level image enhancement processes. The significant contribution of this study is that it offers a comprehensive mechanism to implement the various enhancement schemes in highly discrete way that offers potential flexibility to physical in order to draw clinical conclusion about the disease being monitored. The proposed system takes the case study of brain tumor to implement to testify the framework.

scholarly journals Brain Tumor Segmentation using Multi Level Thresholding using Fuzzy Entropy

2020 ◽  
Vol 8 (5) ◽  
pp. 2641-2643
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Image Segmentation ◽  
Brain Tumor ◽  
Fuzzy Entropy ◽  
Image Processing Technique ◽  
Tumor Segmentation ◽  
Fuzzy Approach ◽  
Segmentation Process ◽  
Multi Level

In image processing field, image processing technique is used to distinguish the object from its image scene at pixel level. The image segmentation process is the significant task in the processing of image field as well as in image analysis. The most difficult task in the image analysis field is the automatic separation of object from its background. To alleviate this problem several image segmentation process is introduced are gray level thresholding, edge detection method, interactive pixel classification method, neural network approach and segmentation based on fuzzy approach This chapter presents the multilevel set thresholding method using partition of fuzzy approach on brain image histogram and theory of entropy. The fuzzy entropy method is applied on multi-level brain tumor MRI image segmentation method. The threshold of brain MR image is obtained by optimized the entropy measure. In this method, Differential Evolution technique is used to find the best solution.

scholarly journals Immune factors and viral interactions in brain cancer etiology and outcomes, The 2016 Brain Tumor Epidemiology Consortium Meeting report

2016 ◽  
Vol 35 (09) ◽  
pp. 280-286 ◽  
Author(s):  
Kimberly J. Johnson ◽  
Johannes A. Hainfellner ◽  
Ching C. Lau ◽  
Michael E. Scheurer ◽  
Adelheid Woehrer ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Brain Cancer ◽  
Meeting Report ◽  
Cancer Etiology ◽  
Viral Interactions ◽  
Immune Factors

scholarly journals Brain tumor epidemiology in the era of precision medicine: The 2017 Brain Tumor Epidemiology Consortium meeting report

2017 ◽  
Vol 36 (11) ◽  
pp. 255-263 ◽  
Author(s):  
Kimberly J. Johnson ◽  
Judith Schwartzbaum ◽  
Carol Kruchko ◽  
Michael E. Scheurer ◽  
Ching C. Lau ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Precision Medicine ◽  
Meeting Report
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