نتایج جستجو برای: dice similarity coefficient

تعداد نتایج: 275674  

2017
Tomoaki Tamaki Kazunori Miyaura Toshihiro Murakami Yu Kumazaki Yoshiyuki Suzuki Takashi Nakano Shingo Kato

PURPOSE To assess the feasibility of applying trans-applicator intracavitary ultrasonography to image-guided brachytherapy for cervical cancer. MATERIAL AND METHODS For this experiment, a phantom was created and included a polyethylene tube, intended to simulate a tandem applicator, which was inserted into chicken meat and embedded in agar, along with magnetic resonance imaging (MRI)-compatib...

2016
Mehrdad Moghbel Syamsiah Mashohor Rozi Mahmud M. Iqbal Bin Saripan

Segmentation of liver tumors from Computed Tomography (CT) and tumor burden analysis play an important role in the choice of therapeutic strategies for liver diseases and treatment monitoring. In this paper, a new segmentation method for liver tumors from contrast-enhanced CT imaging is proposed. As manual segmentation of tumors for liver treatment planning is both labor intensive and time-cons...

Journal: :International journal of radiation oncology, biology, physics 2016
Elise M Pogson Geoff P Delaney Verity Ahern Miriam M Boxer Christine Chan Steven David Marion Dimigen Jennifer A Harvey Eng-Siew Koh Karen Lim George Papadatos Mei Ling Yap Vikneswary Batumalai Elizabeth Lazarus Kylie Dundas Jesmin Shafiq Gary Liney Catherine Moran Peter Metcalfe Lois Holloway

PURPOSE To determine whether T2-weighted MRI improves seroma cavity (SC) and whole breast (WB) interobserver conformity for radiation therapy purposes, compared with the gold standard of CT, both in the prone and supine positions. METHODS AND MATERIALS Eleven observers (2 radiologists and 9 radiation oncologists) delineated SC and WB clinical target volumes (CTVs) on T2-weighted MRI and CT su...

2015
Shuang Liu Mary Salvatore David F. Yankelevitz Claudia I. Henschke Anthony P. Reeves

The segmentation of whole breast serves as the first step towards automated breast lesion detection. It is also necessary for automatically assessing the breast density, which is considered to be an important risk factor for breast cancer. In this paper we present a fully automated algorithm to segment the whole breast in low-dose chest CT images (LDCT), which has been recommended as an annual ...

Journal: :CoRR 2017
Rens Janssens Guodong Zeng Guoyan Zheng

We present a method to address the challenging problem of segmentation of lumbar vertebrae from CT images acquired with varying fields of view. Our method is based on cascaded 3D Fully Convolutional Networks (FCNs) consisting of a localization FCN and a segmentation FCN. More specifically, in the first step we train a regression 3D FCN (we call it “LocalizationNet”) to find the bounding box of ...

2012
Teerapat Sanguankotchakorn Shradha Shrestha Nobuhiko Sugino

Recently, social networking over MANETs has attracted the attention of research community, due to its flexibility, cost saving and infrastructure-less architecture. However, various problems namely, to efficiently find nodes of similar interest and network partition, exist in such environment. For enabling ad hoc social networking in an intermittent network scenario, Delay Tolerant Network (DTN...

1996
Mihoko Kitamura Yuji Matsumoto

This paper proposes a method of finding correspondences of arbitrary length word sequences in aligned parallel corpora of Japanese and English. Translation candidates of word sequences are evaluated by a similarity measure between the sequences defined by the co-occurrence frequency and independent frequency of the word sequences. The similarity measure is an extension of Dice coefficient. An i...

2002

This paper proposes a method of finding correspondences of arbitrary length word sequences in aligned parallel corpora of Japanese and English. Translation candidates of word sequences are evaluated by a similarity measure between the sequences defined by the co-occurrence frequency and independent frequency of the word sequences. The similarity measure is an extension of Dice coefficient. An i...

2016
Sarah Albertsson Evelina Rennes Arne Jönsson

Comparable or parallel corpora are beneficial for many NLP tasks. The automatic collection of corpora enables large-scale resources, even for less-resourced languages, which in turn can be useful for deducing rules and patterns for text rewriting algorithms, a subtask of automatic text simplification. We present two methods for the alignment of Swedish easy-to-read text segments to text segment...

2010
Nishant Khare Rachana Mishra Divakar Singh

The alterations caused by eight different similarity coefficients were evaluated in the clustering and ordination of 27 common bean cultivars analyzed by RAPD markers. The Anderberg, simple matching, Rogers and Tanimoto, Russel and Rao, Ochiai, Jaccard, Sorensen-Dice, and Ochiai II's [4] coefficients were tested. Comparisons among the coefficients were made through correlation analysis of genet...

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