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18 résultats avec le mot-clé: 'learning cnn multiple sclerosis lesion segmentation self supervision'

Learning a CNN on multiple sclerosis lesion segmentation with self-supervision

The CNN is trained to maxi- mize the Dice score (equation 3), which is a compromise between precision (equation 2 and sensibility 1 as detailed in equation 4 aimed at reducing

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Investigating efficient CNN architecture for multiple sclerosis lesion segmentation

Lladó, “Multiple sclerosis lesion detection and segmentation using a convolutional neural network of 3d patches,” MSSEG Challenge Proceedings: Multiple Sclerosis

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Semi-automatic Segmentation of Multiple Sclerosis Lesion Based Active Contours Model and Variational Dirichlet Process'

Semi-automatic Segmentation of Multiple Sclerosis Lesion Based Active Contours Model and Varia- tional Dirichlet Process’... Semi-automatic Segmentation of Multiple Sclerosis

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4 7 7

• Lors d’une opération arithmétique mettant en jeu des nombres de p bits et de même signe, le résultat peut se révéler être trop grand ou trop petit pour être représentable

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Stable methods for solving the standard Abel integral equation by means of orthogonal polynomials.

Introduction Stable solution of Abel integral equation by means of orthogonal polynomials Another Stable method for solving the Abel deconvolution

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Ordinary dichotomy and perturbations of the coefficient matrix of the linear impulsive differential equation

- In the present paper it is proved that the ordinary dichotomy is preserved under perturbations of the coefficient matrix of the linear impulsive differential

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Longitudinal Multiple Sclerosis Lesion Segmentation: Resource & Challenge

The training data consisted of five subjects with a mean of 4.4 time-points, and test data of fourteen subjects with a mean of 4.4 time-points. All 82 data sets had the white

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ENQUÊTE DE SATISFACTION FCI Immobilier Octobre/Novembre 2017

La majorité des négociateurs portés interrogés déclarent ne pas avoir besoin de services annexes. Toutefois, ils ont été nombreux à soumettre l’. idée de

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[ Brevet - Grenoble juin 2002 \

A l’aide du graphique, déterminer le nombre de trajets pour lequel le prix total annuel est plus avantageux avec l’option B.. Faire apparaître le tracé ayant permis

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June 22, 2006 17:33 WSPC/INSTRUCTION FILE DUYZ-M3AS OPTIMAL CONVERGENCE RATES FOR THE COMPRESSIBLE NAVIER-STOKES EQUATIONS WITH POTENTIAL FORCES

To obtain the optimal convergence rates of the solution and its first order deriva- tives in L 2 -norm for the case of the potential force in Theorem 1.1, besides the L p − L

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Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

The training data consisted of five subjects with a mean of 4.4 time-points, and test data of fourteen subjects with a mean of 4.4 time-points. All 82 data sets had the white

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Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts: Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts

Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts.. Daniel García-Lorenzo, Jérémy Lecoeur, Douglas

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Automatic multiple sclerosis lesion segmentation with P-LOCUS

Given that the information content and dis- criminative power to detect lesions varies between di↵erent MR sequences, we adopt a weighted data model, originally proposed by Forbes et

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Alien_M easy: E27, mm max. 60W Alien_XL easy: E27, max. 150W. Alien_M easy outdoor: IP33, E27, mm max. 60W Alien_XL easy outdoor: IP33, E27, max.

Please read and observe the safety notes and instructions for use of the lighting fixture and keep them in a safe

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1.2 Organization of the Work . . . . 3

9.4 Influence of the fuel assemblies geometry (reference design) [nominal distance between the fuel rods centres = 1.26

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Interactions sociales en univers virtuel : Modèles pour une interaction située

En partant du mod`ele ´emotionnel et des d´ecisions d’actions prises par l’uti- lisateur, nous proposons d’une part une solution pour effectuer de fa¸con intui- tive des

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A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation

Looking at the available datasets for this validation study we strongly felt that the analysis of the results is not straight forward and there are several aspects that need to

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Multiple Sclerosis lesion segmentation using an automated multimodal Graph Cut

The qualitative evaluation of the proposed segmentation algorithm is made through two categories of evaluation metrics: lesion detection (are the lesions well detected independently

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