F-UNet: A Modified U-Net Architecture for Segmentation of Stroke Lesion

2021 ◽  
pp. 32-43
Author(s):  
Hritam Basak ◽  
Ajay Rana
Keyword(s):  
Stroke Lesion

Stroke Lesion Segmentation and Analysis using Entropy/Otsu’s Function – A Study with Social Group Optimization

2019 ◽  
Vol 14 (4) ◽  
pp. 305-313 ◽  
Author(s):  
Suresh Chandra Satapathy ◽  
Steven Lawrence Fernandes ◽  
Hong Lin
Keyword(s):  
Social Group ◽  
Research Work ◽  
Lesion Segmentation ◽  
Permanent Disability ◽  
Brain Abnormality ◽  
Inspection Process ◽  
Stroke Lesion ◽  
Social Group Optimization ◽  
The Brain ◽  
Otsu’S Function

Background: Stroke is one of the major causes for the momentary/permanent disability in the human community. Usually, stroke will originate in the brain section because of the neurological deficit and this kind of brain abnormality can be predicted by scrutinizing the periphery of brain region. Magnetic Resonance Image (MRI) is the extensively considered imaging procedure to record the interior sections of the brain to support visual inspection process. Objective: In the proposed work, a semi-automated examination procedure is proposed to inspect the province and the severity of the stroke lesion using the MRI. associations while known disease-lncRNA associations are required only. Method: Recently discovered heuristic approach called the Social Group Optimization (SGO) algorithm is considered to pre-process the test image based on a chosen image multi-thresholding procedure. Later, a chosen segmentation procedure is considered in the post-processing section to mine the stroke lesion from the pre-processed image. Results: In this paper, the pre-processing work is executed with the well known thresholding approaches, such as Shannon’s entropy, Kapur’s entropy and Otsu’s function. Similarly, the postprocessing task is executed using most successful procedures, such as level set, active contour and watershed algorithm. Conclusion: The proposed procedure is experimentally inspected using the benchmark brain stroke database known as Ischemic Stroke Lesion Segmentation (ISLES 2015) challenge database. The results of this experimental work authenticates that, Shannon’s approach along with the LS segmentation offers superior average values compared with the other approaches considered in this research work.</P>

A Crossbred Approach for Effective Brain Stroke Lesion Segmentation

2018 ◽  
Vol 11 (1) ◽  
pp. 286-295
Author(s):  
Sunil Melingi ◽  
◽  
Vijayalakshmi Vivekanand ◽  
Keyword(s):  
Lesion Segmentation ◽  
Brain Stroke ◽  
Stroke Lesion

scholarly journals Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0149828 ◽  
Author(s):  
Oskar Maier ◽  
Christoph Schröder ◽  
Nils Daniel Forkert ◽  
Thomas Martinetz ◽  
Heinz Handels
Keyword(s):  
Ischemic Stroke ◽  
Comparison Study ◽  
Lesion Segmentation ◽  
Stroke Lesion

U-Net Supported Segmentation of Ischemic-Stroke-Lesion from Brain MRI Slices

2021 ◽  
Author(s):  
Seifedine Kadry ◽  
Robertas Damasevicius ◽  
David Taniar ◽  
Venkatesan Rajinikanth ◽  
Isah A. Lawal
Keyword(s):  
Ischemic Stroke ◽  
Brain Mri ◽  
Stroke Lesion

scholarly journals Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information

2018 ◽  
Vol 9 ◽  
Author(s):  
Adriano Pinto ◽  
Richard Mckinley ◽  
Victor Alves ◽  
Roland Wiest ◽  
Carlos A. Silva ◽  
...  
Keyword(s):  
Outcome Prediction ◽  
Clinical Information ◽  
Mri Imaging ◽  
Stroke Lesion

scholarly journals Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 45715-45725 ◽  
Author(s):  
Long Zhang ◽  
Ruoning Song ◽  
Yuanyuan Wang ◽  
Chuang Zhu ◽  
Jun Liu ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Information Fusion ◽  
Lesion Segmentation ◽  
Stroke Lesion

scholarly journals ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

2017 ◽  
Vol 35 ◽  
pp. 250-269 ◽  
Author(s):  
Oskar Maier ◽  
Bjoern H. Menze ◽  
Janina von der Gablentz ◽  
Levin Häni ◽  
Mattias P. Heinrich ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Lesion Segmentation ◽  
Public Evaluation ◽  
Stroke Lesion ◽  
Multispectral Mri
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