Microwave tomography for breast cancer detection on Cell broadband engine processors

Xu, Meilian; Thulasiraman, Parimala; Noghanian, Sima

doi:10.1016/j.jpdc.2011.10.013

Cited by 21 publications

(10 citation statements)

References 33 publications

(40 reference statements)

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“…Xu et al in University of Manitoba proposed an iterative process that involves two algorithms: Finite-Difference Time-Domain (FDTD) and Genetic Algorithm (GA). They developed a parallel algorithm for microwave tomography on CPU-based homogeneous multicore distributed memory machines and the Cell BE processor [68, 69, 76]. The research group in National University of Ireland Galway in Ireland presented a novel parallelization strategy to accelerate microwave tomography [85].…”

Section: Microwave Breast Imagingmentioning

confidence: 99%

Recent Advances in Microwave Imaging for Breast Cancer Detection

Kwon

Lee

2016

International Journal of Biomedical Imaging

154

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Breast cancer is a disease that occurs most often in female cancer patients. Early detection can significantly reduce the mortality rate. Microwave breast imaging, which is noninvasive and harmless to human, offers a promising alternative method to mammography. This paper presents a review of recent advances in microwave imaging for breast cancer detection. We conclude by introducing new research on a microwave imaging system with time-domain measurement that achieves short measurement time and low system cost. In the time-domain measurement system, scan time would take less than 1 sec, and it does not require very expensive equipment such as VNA.

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Section: Microwave Breast Imagingmentioning

confidence: 99%

Recent Advances in Microwave Imaging for Breast Cancer Detection

Kwon

Lee

2016

International Journal of Biomedical Imaging

154

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“…outperforms general-purpose multi-core processors and GPU. [23] applies two components, FiniteDifference Time-Domain (FDTD) and Genetic Algorithm (GA), of microwave tomography for breast cancer detection to PPE and SPEs of Cell/B.E. respectively and achieves significant performance according to the architecture features.…”

Section: Related Workmentioning

confidence: 99%

A Server Model for Reliable Communication on Cell/B.E.

Zhou

Chen

Liu

et al. 2013

2013 42nd International Conference on Parallel Processing

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In most cases of safety-related systems, the network is an indispensable part. At this point, the system reliability is as important as the system communication quality. With the emergence of multi-core architectures, the first generation usually aims to provide reliable and deterministic computing resources. Therefore, with the boost requirement of reliability and throughput that cannot be satisfied by general single-core processors, the deployment of safety-related systems is transferred and processed multi-core environments. In this paper, we propose Reliable Communication Server on SPU (RCSoS), which is a server model for reliable communication utilizing SPU (Synergistic Processor Unit) in Cell/B.E (Cell Broadband Engine). It simulates SPU as a communication server and guarantees the reliability and determinacy by the isolation mode of SPU and contract model. We have implemented RCSoS in PlayStation 3, which dynamically adjust parameters, and inform applications on contract violations. Experiments show the performance of this model.

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“…Recently a large amount of studies has been conducted on computer-aided breast cancer diagnosis based on mammography, ultrasonography and microwave imaging (Moon et al, 2011;Mohanty et al, 2013;Cheng et al, 2010;Moghbel and Mashohor, 2013;Verma et al, 2010;Li et al, 2013;Xu et al, 2012;Ganesan et al, 2013;Grzegorczyk et al, 2012;Kirshin et al, 2013;Nikolova, 2011). Some of the proposed solutions have been successfully used in hospitals and research centers (Birdwell et al, 2005;Butler et al, 2004;Cupples et al, 2004;Dean and Ilvento, 2006;Destounis et al, 2004;Doi, 2005;Gi-ger, 2004;Morton et al, 2006;Eadie et al, 2012;Alvarez Menendez et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Nuclei segmentation for computer-aided diagnosis of breast cancer

Kowal¹,

Filipczuk²

2014

International Journal of Applied Mathematics and Computer Science

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Breast cancer is the most common cancer among women. The effectiveness of treatment depends on early detection of the disease. Computer-aided diagnosis plays an increasingly important role in this field. Particularly, digital pathology has recently become of interest to a growing number of scientists. This work reports on advances in computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies. The task at hand is to classify those as either benign or malignant. We propose a robust segmentation procedure giving satisfactory nuclei separation even when they are densely clustered in the image. Firstly, we determine centers of the nuclei using conditional erosion. The erosion is performed on a binary mask obtained with the use of adaptive thresholding in grayscale and clustering in a color space. Then, we use the multi-label fast marching algorithm initialized with the centers to obtain the final segmentation. A set of 84 features extracted from the nuclei is used in the classification by three different classifiers. The approach was tested on 450 microscopic images of fine needle biopsies obtained from patients of the Regional Hospital in Zielona Góra, Poland. The classification accuracy presented in this paper reaches 100%, which shows that a medical decision support system based on our method would provide accurate diagnostic information.

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Microwave tomography for breast cancer detection on Cell broadband engine processors

Cited by 21 publications

References 33 publications

Recent Advances in Microwave Imaging for Breast Cancer Detection

Recent Advances in Microwave Imaging for Breast Cancer Detection

A Server Model for Reliable Communication on Cell/B.E.

Nuclei segmentation for computer-aided diagnosis of breast cancer

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