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label fusion

Optimal number of atlases and label fusion for automatic multi-atlas-based brachial plexus contouring in radiotherapy treatment planning

Optimal number of atlases and label fusion for automatic multi-atlas-based brachial plexus contouring in radiotherapy treatment planning

... and label fusion algorithm that are ...the label fusion algorithm to obtain a unique and final consensus ...and label fusion algorithms for various organs have been compared in ...

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Multi-Atlas Segmentation with Improved Pair-Wise Dependency Estimation in Joint Label Fusion

Multi-Atlas Segmentation with Improved Pair-Wise Dependency Estimation in Joint Label Fusion

... voting label fusion methods give voting to the atlas globally or locally by ...a label fusion strategy that reduces problem raised by having the repeated atlas in the atlases set without ...

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Automatic Optimum Atlas Selection for Multi-Atlas Image Segmentation using Joint Label Fusion

Automatic Optimum Atlas Selection for Multi-Atlas Image Segmentation using Joint Label Fusion

... joint label fusion (JLF_19) was compared to segmentation performance using OAS frame- work to select an optimum number of atlases from the19 available atlases for joint label fusion ...

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Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion.

Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion.

... Multi-atlas segmentation propagation has evolved quickly in recent years, becoming a state-of-the-art methodology for automatic parcellation of structural images. However, few studies have applied these methods to ...

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3. SVM Based Multi-Atlas Segmentation with Joint Label Fusion
for Alzheimer Disease

3. SVM Based Multi-Atlas Segmentation with Joint Label Fusion for Alzheimer Disease

... FMRI images depict details of the internal structure of the hippocampus with high in-slice resolution and good contrast between subfields[10], but these images also have a limited field of view and large slice spacing. ...

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PubMedCentral-PMC5798494.pdf

PubMedCentral-PMC5798494.pdf

... reliable label fusion heuristics from the reference image to refine the segmentation of new infant image, which brings the image segmentation and registration to assist each ...

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Multi-Atlas based Segmentation of Multi-Modal Brain Images

Multi-Atlas based Segmentation of Multi-Modal Brain Images

... whole label fusion procedure is designed in such a way that all the input atlases and target image are registered to a common space, then there will be no need to perform the whole procedure for every new ...

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Robust whole-brain segmentation: Application to traumatic brain injury

Robust whole-brain segmentation: Application to traumatic brain injury

... On visual inspection, all segmentations of these 122 images were considered reasonable, allowing for pathology. Visual exam- ples of calculated segmentation results are shown in Fig. 9. The image pair illustrates the ...

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A Study On The Consumption Pattern Of Private Labels In Kerala With Reference Grocery And FMCG.

A Study On The Consumption Pattern Of Private Labels In Kerala With Reference Grocery And FMCG.

... Rajeev Batra and Indrajit Singha,(2000)analyses various factors that helped to explain variations in purchasing preferences for national brands versus private label brands. The consumer perceptions of the ...

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The Tort Label

The Tort Label

... One key problem with applying the tort label to employment discrimination statutes is that the courts and EEOC seem ill equipped to apply it well. As discussed throughout this Article, the Supreme Court has relied ...

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1.
													Real time fusion of gestures

1. Real time fusion of gestures

... real-time fusion of eye and speech gesture recognition method. Such fusion of gesture is very useful / beneficial for different kind of Handicapped / ...

7

The Tort Label

The Tort Label

... When courts define employment discrimination as torts, they conceive tort law as deriving from the common law, not other statutes. Thus, while the Supreme Court labels discriminat[r] ...

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Modification of the Cytoplasmic Domain of Influenza Virus Hemagglutinin Affects Enlargement of the Fusion Pore

Modification of the Cytoplasmic Domain of Influenza Virus Hemagglutinin Affects Enlargement of the Fusion Pore

... The fusion activity of chimeras of influenza virus hemagglutinin (HA) (from A/fpv/Rostock/34; subtype H7) with the transmembrane domain (TM) and/or cytoplasmic tail (CT) either from the nonviral, nonfusogenic ...

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Target Fishing: A Single-Label or Multi-Label Problem?

Target Fishing: A Single-Label or Multi-Label Problem?

... unique label 𝑙 in the set ...class label ¬𝑙. Note that in the multi-label Naïve Bayes case, unlike the single-label Naïve Bayes discussed in the Background Section, a compound in the training ...

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RETAIL USER TRAINING MANUAL. CPSIA adidas-group platform Web-based platform for Certificates of Compliance and 3 rd party lab Test Reports

RETAIL USER TRAINING MANUAL. CPSIA adidas-group platform Web-based platform for Certificates of Compliance and 3 rd party lab Test Reports

... Tyvec label stiched on Bicep protector Shin pads Tyvec label stitched inside calf protector Pants Tyvec label stitched to waist seam Shell Tyvec label stitched to waist seam Girdles Tyvec ...

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Reconstructive Subspace Based Multimodal Biometric For Accurate Person Authentication

Reconstructive Subspace Based Multimodal Biometric For Accurate Person Authentication

... Here we will study multimodal biometric recognition using face and fingerprint with feature level fusion. Face and Fingerprint recognition is done using PCA. PCA is one of the most used algorithms for face ...

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Multi Label Text Classification through Label Propagation

Multi Label Text Classification through Label Propagation

... multi label text classifier the major objective is not only to identify the set of classes belonging to given new text documents but also to identify most relevant out of them to improve accuracy of overall ...

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The Maximum Label Propagation Algorithm on Sparse Random Graphs

The Maximum Label Propagation Algorithm on Sparse Random Graphs

... As outlined above, there are only very few rigorous mathematical results on LPAs. In an attempt to improve on results from [17], Cruciani, Natale, and Scornavacca [9] studied the 2-choices dynamics as a “sampling” ...

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A Submodular Feature Aware Framework for Label Subset Selection in Extreme Classification Problems

A Submodular Feature Aware Framework for Label Subset Selection in Extreme Classification Problems

... whole label set. We can then solve efficiently the prob- lem of multi-label learning with an intractably large number of interdependent labels, such as automatic tagging of Wikipedia ...this label ...

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Label Specific Document Representation for Multi Label Text Classification

Label Specific Document Representation for Multi Label Text Classification

... a Label- Specific Attention Network (LSAN) to learn the new document ...of label semantic information to determine the semantic connection between labels and document for constructing label- specific ...

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