نتایج جستجو برای: dice similarity coefficient

تعداد نتایج: 275674  

2004
Andréia da Silva Meyer Antonio Augusto Franco Garcia Anete Pereira de Souza Cláudio Lopes de Souza

The objective of this study was to evaluate whether different similarity coefficients used with dominant markers can influence the results of cluster analysis, using eighteen inbred lines of maize from two different populations, BR-105 and BR-106. These were analyzed by AFLP and RAPD markers and eight similarity coefficients were calculated: Jaccard, Sorensen-Dice, Anderberg, Ochiai, Simple-mat...

2016
Kishan Andre Liyanage Christopher Steward Bradford Armstrong Moffat Nicholas Lachlan Opie Gil Simon Rind Sam Emmanuel John Stephen Ronayne Clive Newton May Terence John O'Brien Marjorie Eileen Milne Thomas James Oxley

Segmentation is the process of partitioning an image into subdivisions and can be applied to medical images to isolate anatomical or pathological areas for further analysis. This process can be done manually or automated by the use of image processing computer packages. Atlas-based segmentation automates this process by the use of a pre-labelled template and a registration algorithm. We develop...

2015
Toki Migimatsu

Automatically segmenting bone tissue in MRI scans requires robustness against poor signal-to-noise ratios, highly inconsistent lighting conditions, and variability within bone tissues. Because of these difficulties, very little literature exists on automatic MRI bone segmentation. Current state-of-the-art methods are either semi-automatic or rely on databases of prior manual segmentations. Here...

Journal: :CoRR 2017
Nick Pawlowski Sofia Ira Ktena Matthew C. H. Lee Bernhard Kainz Daniel Rueckert Ben Glocker Martin Rajchl

We present DLTK, a toolkit providing baseline implementations for efficient experimentation with deep learning methods on biomedical images. It builds on top of TensorFlow and its high modularity and easy-to-use examples allow for a lowthreshold access to state-of-the-art implementations for typical medical imaging problems. A comparison of DLTK’s reference implementations of popular network ar...

2010
L. T. Hiew Kelvin W.C. Foong

Cone beam computed tomography (CBCT) can provide dentists with accurate 3D diagnostic images of the maxillofacial region at a lower irradiation dose compare to conventional medical CT. Due to low image contrast, higher image noise and missing image boundaries, tooth segmentation in CBCT is difficult even with experienced radiographic interpreters. In this paper, we proposed a graph cuts segment...

Journal: :AJR. American journal of roentgenology 2013
Baris Turkbey Sergei V Fotin Robert J Huang Yin Yin Dagane Daar Omer Aras Marcelino Bernardo Brian E Garvey Juanita Weaver Hrishikesh Haldankar Naira Muradyan Maria J Merino Peter A Pinto Senthil Periaswamy Peter L Choyke

OBJECTIVE The objective of our study was to compare calculated prostate volumes derived from tridimensional MR measurements (ellipsoid formula), manual segmentation, and a fully automated segmentation system as validated by actual prostatectomy specimens. MATERIALS AND METHODS Ninety-eight consecutive patients (median age, 60.6 years; median prostate-specific antigen [PSA] value, 6.85 ng/mL) ...

2014
Kerstin Hammernik Thomas Ebner Darko Stern Martin Urschler Thomas Pock

Automatic segmentation of 3D vertebrae is a challenging task in medical imaging. In this paper, we introduce a total variation (TV) based framework that incorporates an a priori model, i.e., a vertebral mean shape, image intensity and edge information. The algorithm was evaluated using leave-one-out cross validation on a data set containing ten computed tomography scans and ground truth segment...

2012
Bianca Maan Ferdi van der Heijden

This paper presents a method for automatic segmentation of the prostate from transversal T2-weighted images based on 3D Active Appearance Models (AAM). The algorithm consist of two stages. Firstly, Shape Context based non-rigid surface registration of the manual segmented images is used to obtain the point correspondence between the given training cases. Subsequently, an AAM is used to segment ...

2015
Mohsen Ghafoorian Bram Platel

Recently deep neural networks have shown many successful applications in different domains. For this lesion segmentation task, we utilize a deep convolutional neural network with 5 layers in a sliding window fashion to create a voxel-based classifier. We evaluate our system with Dice similarity, misclassification rate and area under the ROC curve. Based on experimental results our proposed CAD ...

2008
Yeun-Kyung Chang

Amplified fragment length polymorphism (AFLP) markers allow a rapid assessment of the level of genetic variation that would be difficult to evaluate using a limited number of morphological markers. AFLP was used to assess the level of genetic variation among 16 different Phalaenopsis species and hybrids. Ten AFLP primer combinations were used for genetic analysis of these Phalaenopsis and 95% o...

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