Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma

机译：使用GPU进行病理图像分析：神经母细胞瘤的基质分类

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Neuroblastoma is one of the most malignant childhood cancers affecting infants mostly. The current prognosis is based on microscopic examination of slides by expert pathologists, a process that is error-prone, time consuming and may lead to inter- and int

机译：神经母细胞瘤是影响婴儿的最恶性儿童期癌症之一。当前的预后基于专家病理学家对载玻片的显微镜检查，该过程容易出错，耗时且可能导致内部和内部

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《Bioinformatics and Biomedicine (BIBM), 2007 IEEE International Conference on》|2007年|P.78-88|共11页
会议地点 FremontCA
作者
Ruiz; A.; Sertel; O.; Ujaldon; M.; Catalyurek; U.; Saltz; J.; Gurcan; M.;
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cancer; computer graphic equipment; computer graphics; image classification; medical image processing; neurophysiology; paediatrics; tumours; GPU; childhood cancer; computer aided prognosis system; computerized image analysis; graphics processing unit; infants; neurob;

机译：癌症;计算机图形设备；计算机图形学;图像分类；医学图像处理；神经生理学儿科;肿瘤GPU;儿童期癌症；计算机辅助预后系统；计算机图像分析；图形处理单元；婴儿神经元;

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1. Prognostic value of the International Neuroblastoma Pathology Classification in Neuroblastoma (Schwannian stroma-poor) and comparison with other prognostic factors: a study of 182 cases from the Spanish Neuroblastoma Registry. [J] . Burgues O, Navarro S, Noguera R, Virchows Archiv: an international journal of pathology . 2006,第4期

机译：国际神经母细胞瘤病理分类对神经母细胞瘤（Schwannian基质贫）的预后价值以及与其他预后因素的比较：西班牙神经母细胞瘤注册中心对182例病例的研究。
2. Stroma classification for neuroblastoma on graphics processors [J] . Ruiz A., Sertel O., Ujaldón M., International journal of data mining and bioinformatics . 2009,第3期

机译：图形处理器上神经母细胞瘤的基质分类
3. Efficient ELM-Based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs [J] . Lopez-Fandino Javier, Quesada-Barriuso Pablo, Heras Dora B., Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2015,第6期

机译：基于高效ELM的商品GPU上高光谱遥感图像分类技术
4. Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma [C] . Ruiz A., Sertel O., Ujaldon M., IEEE International Conference on Bioinformatics and Biomedicine . 2007

机译：使用GPU的病理学图像分析：神经母细胞瘤的基质分类
5. Statistical analysis for image segmentation, feature classification and its applications in medical imaging and gene analysis. [D] . Bak, EunSang. 2004

机译：用于图像分割，特征分类的统计分析及其在医学成像和基因分析中的应用。
6. Application Performance Analysis and Efficient Execution on Systems with multi-core CPUs GPUs and MICs: A Case Study with Microscopy Image Analysis [O] . George Teodoro, Tahsin Kurc, Guilherme Andrade, -1

机译：具有多核CPUGPU和MIC的系统上的应用程序性能分析和高效执行：以显微镜图像分析为例
7. PATHOLOGICAL IMAGE SEGMENTATION FOR NEUROBLASTOMA USING THE GPU [O] . Antonio Ruiz, Manuel Ujaldon, Kim Boyer, 2015

机译：利用GpU进行神经母细胞瘤的病理图像分割
8. Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods. [R] . Myint, S. W., Mesev, V., Quattrochi, D., 2014

机译：城市图像分类：每像素分类器，子像素分析，基于对象的图像分析和地理空间方法。

Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma

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