نتایج جستجو برای: auto delineation

تعداد نتایج: 36618  

ژورنال: مهندسی دریا 2010
آل شیخ, علی اصغر, صداقت, امین, محمدی, نازیلا, ملک, محمدرضا,

The objective of this paper is to introduce a new method for coastlines delineation from high-resolution satellite images automatically. The proposed approach integrates the color histogram analysis for estimating the number of clusters, fuzzy c-partition, and genetic algorithms for optimizing fuzzy c-partition matrix. The imagery is classified into homogenous areas using the proposed fuzzy log...

2016
Maria A. Gambacorta Luca Boldrini Chiara Valentini Nicola Dinapoli Gian C. Mattiucci Giuditta Chiloiro Danilo Pasini Stefania Manfrida Nicola Caria Bruce D. Minsky Vincenzo Valentini

To validate autocontouring software (AS) in a clinical practice including a two steps delineation quality assurance (QA) procedure.The existing delineation agreement among experts for rectal cancer and the overlap and time criteria that have to be verified to allow the use of AS were defined.Median Dice Similarity Coefficient (MDSC), Mean slicewise Hausdorff Distances (MSHD) and Total-Time savi...

2015
Kevin Wu

OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...

2015
Kevin Wu

OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...

Journal: :IJHPCA 2013
Nicholas Chaimov Scott Biersdorff Allen D. Malony

The process of empirical autotuning results in the generation of many code variants which are tested, found to be suboptimal, and discarded. By retaining annotated performance profiles of each variant tested over the course of many autotuning runs of the same code across different hardware environments and different input datasets, we can apply machine learning algorithms to generate classifier...

2014
Azadeh Firouzian Matthew D Kelly Jérôme M Declerck

BACKGROUND Defining tumour volume for treatment response and radiotherapy planning is challenging and prone to inter- and intra-observer variability. Various automated tumour delineation methods have been proposed in the literature, each having abilities and limitations. Therefore, there is a need to provide clinicians with practical information on delineation method selection. METHODS Six di...

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