Efficient Morphological Segmentation of Brain Hemorrhage Stroke Lesion Through MultiResUNet

SummaryPlatelet-activating factor (PAF) acetylhydrolase is an enzyme that inactivates PAF. Deficiency of this enzyme is caused by a missense mutation in the gene. We previously found a higher prevalence of this mutation in patients with ischemic stroke. This fact suggests that the mutation might enhance the risk for stroke through its association with hypertension. We have addressed this hypothesis by analyzing the prevalence of the mutation in hypertension. We studied 138 patients with essential hypertension, 99 patients with brain hemorrhage, and 270 healthy controls. Genomic DNA was analyzed for the mutant allele by the polymerase-chain reaction. The prevalence of the mutation was 29.3% (27.4% heterozygotes and 1.9% homozygotes) in controls and 36.2% in hypertensives and the difference was not significant. The prevalence in patients with brain hemorrhage was significantly higher than the control: 32.6% heterozygotes and 6.1% homozygotes (p <0.05). PAF acetylhydrolase deficiency may be a genetic risk factor for vascular diseases.

Download Full-text

Identification and Transformation of Terminal Morphemes in Medical English

Methods of Information in Medicine ◽

10.1055/s-0038-1636644 ◽

1969 ◽

Vol 8 (02) ◽

pp. 84-90 ◽

Cited By ~ 1

Author(s):

A. W. Pratt ◽

M. Pacak

Keyword(s):

Word Form ◽

Subsequent Transformation ◽

Part Of Speech ◽

Morphological Segmentation ◽

Medical English ◽

Nominal Form ◽

Admissible Path ◽

Near Future ◽

The Given ◽

Admissible Sequences

The system for the identification and subsequent transformation of terminal morphemes in medical English is a part of the information system for processing pathology data which was developed at the National Institutes of Health.The recognition and transformation of terminal morphemes is restricted to classes of adjectivals including the -ING and -ED forms, nominals and homographic adjective/noun forms.The adjective-to-noun and noun-to-noun transforms consist basically of a set of substitutions of adjectival and certain nominal suffixes by a set of suffixes which indicate the corresponding nominal form(s).The adjectival/nominal suffix has a polymorphosyntactic transformational function if it has the property of being transformed into more than one nominalizing suffix (e.g., the adjectival suffix -IC can be substituted by a set of nominalizing suffixes -Ø, -A, -E, -Y, -IS, -IA, -ICS): the adjectival suffix has a monomorphosyntactic transformational property if there is only one admissible transform (e.g., -CIC → -X).The morphological segmentation and the subsequent transformations are based on the following principles:a. The word form is segmented according to the principle of »double consonant cut,« i.e., terminal characters following the last set of double consonants are analyzed and treated as a potential suffix. For practical purposes only such terminal suffixes of a maximum length of four have been analyzed.b. The principle that the largest segment of a word form common to both adjective and noun or to both noun stems is retained as a word base for transformational operations, and the non-identical segment is considered to be a »suffix.«The backward right-to-left character search is initiated by the identification of the terminal grapheme of the given word form and is extended to certain admissible sequences of immediately preceding graphemes.The nodes which represent fixed sequences of graphemes are labeled according to their recognition and/or transformation properties.The tree nodes are divided into two groups:a. productive or activatedb. non-productive or non-activatedThe productive (activated) nodes are sequences of sets of graphemes which possess certain properties, such as the indication about part-of-speech class membership, the transformation properties, or both. The non-productive (non-activated) nodes have the function of connectors, i.e., they specify the admissible path to the productive nodes.The computer program for the identification and transformation of the terminal morphemes is open-ended and is already operational. It will be extended to other sub-fields of medicine in the near future.

Download Full-text

Diagnosis of Brain Hemorrhage Using KNN based Radial Basis Classifier

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2019/151862019 ◽

2019 ◽

Vol 8 (6) ◽

pp. 3658-3664

Author(s):

Jathin Desan

Keyword(s):

Brain Hemorrhage ◽

Radial Basis

Download Full-text

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

Current Bioinformatics ◽

10.2174/1574893614666181220094918 ◽

2019 ◽

Vol 14 (4) ◽

pp. 305-313 ◽

Cited By ~ 5

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>

Download Full-text

A Crossbred Approach for Effective Brain Stroke Lesion Segmentation

International Journal of Intelligent Engineering and Systems ◽

10.22266/ijies2018.0228.30 ◽

2018 ◽

Vol 11 (1) ◽

pp. 286-295

Author(s):

Sunil Melingi ◽

◽

Vijayalakshmi Vivekanand ◽

Keyword(s):

Lesion Segmentation ◽

Brain Stroke ◽

Stroke Lesion

Download Full-text

BHCNet: Neural Network based Brain Hemorrhage Classification Using Head CT Scan

IEEE Access ◽

10.1109/access.2021.3102740 ◽

2021 ◽

pp. 1-1

Author(s):

Muhammad Faheem Mushtaq ◽

Mobeen Shahroz ◽

Ali M. Aseere ◽

Habib Shah ◽

Rizwan Majeed ◽

...

Keyword(s):

Neural Network ◽

Ct Scan ◽

Brain Hemorrhage ◽

Head Ct

Download Full-text

Topological and Morphological Controls on Morphodynamics of Salt Marsh Interiors

Journal of Marine Science and Engineering ◽

10.3390/jmse9030311 ◽

2021 ◽

Vol 9 (3) ◽

pp. 311

Author(s):

Ben R. Evans ◽

Iris Möller ◽

Tom Spencer

Keyword(s):

Salt Marsh ◽

Salt Marshes ◽

East Coast ◽

Marsh Surface ◽

Coastal Environments ◽

Coastal System ◽

Morphological Segmentation ◽

The Usa ◽

The Uk ◽

Over Time

Salt marshes are important coastal environments and provide multiple benefits to society. They are considered to be declining in extent globally, including on the UK east coast. The dynamics and characteristics of interior parts of salt marsh systems are spatially variable and can fundamentally affect biotic distributions and the way in which the landscape delivers ecosystem services. It is therefore important to understand, and be able to predict, how these landscape configurations may evolve over time and where the greatest dynamism will occur. This study estimates morphodynamic changes in salt marsh areas for a regional domain over a multi-decadal timescale. We demonstrate at a landscape scale that relationships exist between the topology and morphology of a salt marsh and changes in its condition over time. We present an inherently scalable satellite-derived measure of change in marsh platform integrity that allows the monitoring of changes in marsh condition. We then demonstrate that easily derived geospatial and morphometric parameters can be used to determine the probability of marsh degradation. We draw comparisons with previous work conducted on the east coast of the USA, finding differences in marsh responses according to their position within the wider coastal system between the two regions, but relatively consistent in relation to the within-marsh situation. We describe the sub-pixel-scale marsh morphometry using a morphological segmentation algorithm applied to 25 cm-resolution maps of vegetated marsh surface. We also find strong relationships between morphometric indices and change in marsh platform integrity which allow for the inference of past dynamism but also suggest that current morphology may be predictive of future change. We thus provide insight into the factors governing marsh degradation that will assist the anticipation of adverse changes to the attributes and functions of these critical coastal environments and inform ongoing ecogeomorphic modelling developments.

Download Full-text