Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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наукова стаття, опублікована у 2012

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Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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P1476

Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

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P2093

Abbes Amira

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Habib Zaidi

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Maysam Abbod

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Mhd Saeed Sharif

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P2860

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PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

The development and testing of a digital PET phantom for the evaluation of tumor volume segmentation techniques.

Tumor volume in pharyngolaryngeal squamous cell carcinoma: comparison at CT, MR imaging, and FDG PET and validation with surgical specimen.

A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.

Selecting the optimal image segmentation strategy in the era of multitracer multimodality imaging: a critical step for image-guided radiation therapy.

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scholarly article

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10.1155/2012/327861

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P478

2012

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P577

2012-01-01T00:00:00Z

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