Rough K-Means and Morphological Operation-Based Brain Tumor Extraction

Dobe, Oyendrila; Sarkar, Apurba; Halder, Amiya

doi:10.1007/978-981-10-8797-4_67

“…This approach is used to minimize the inter-cluster distance [19]. Dobe et al (2019) have presented a rough set-based Kmeans algorithm for the detection of tumor from the MRI image. The segmentation through k-means is followed by the global thresholding and morphological operation.…”

Section: Eai Endorsed Transactions On Pervasive Health and Technologymentioning

confidence: 99%

“…Whereas, modified membership has been evaluated by determining distance between the centroids. As only intensity point is taken into consideration therefore, the obtained image is highly immune to noise [21].…”

Section: Eai Endorsed Transactions On Pervasive Health and Technologymentioning

confidence: 99%

Enhanced Brain Tumour MRI Segmentation using K-means with machine learning based PSO and Firefly Algorithm

Kapoor

¹

,

Agarwal²

2021

EAI Endorsed Trans Perv Health Tech

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…Therefore, by exploiting the highly efficient particle trapping of the nanosieve, stacking of the beads is achieved by hydrodynamic flow at various flow rates, and the liquid-flow profile of the stack is imaged by optical coherence tomography . Then, a novel machine learning method is applied to automatically reconstruct the three-dimensional (3D) topology within the device . Our system can isolate and concentrate E.…”

Section: Introductionmentioning

confidence: 99%

Rapid Escherichia coli Trapping and Retrieval from Bodily Fluids via a Three-Dimensional Bead-Stacked Nanodevice

Chen

¹

,

Miller

²

,

Cao

³

et al. 2020

ACS Appl. Mater. Interfaces

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…34 Then, a novel machine learning method is applied to automatically reconstruct 3D topology within the device. 35 Our system can isolate and concentrate E. coli cells from either bacteria suspension or pig plasma by physically capturing the bacteria in the beads assay. Remarkably, the captured bacteria are easily released from the device with flow rate induced channel deformation, followed by bead isolation with a magnetic.…”

mentioning

confidence: 99%

Efficient Escherichia coli (E. coli) Trapping and Retrieval from Bodily Fluids via a Three-Dimensional (3D) Microbeads Stacked Nano-Device

Chen

¹

,

Miller

²

,

Cao

³

et al. 2019

Preprint

0

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

show abstract

Rough K-Means and Morphological Operation-Based Brain Tumor Extraction

Cited by 18 publications

References 10 publications

Enhanced Brain Tumour MRI Segmentation using K-means with machine learning based PSO and Firefly Algorithm

Enhanced Brain Tumour MRI Segmentation using K-means with machine learning based PSO and Firefly Algorithm

Rapid Escherichia coli Trapping and Retrieval from Bodily Fluids via a Three-Dimensional Bead-Stacked Nanodevice

Efficient Escherichia coli (E. coli) Trapping and Retrieval from Bodily Fluids via a Three-Dimensional (3D) Microbeads Stacked Nano-Device

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