Lung tumor segmentation based on multi-scale template matching and region growing-Reference-Cited by-同舟云学术

Lung tumor segmentation based on multi-scale template matching and region growing

Published:2018-03-12 Issue: Volume: Page:
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Container-title:Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
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Author:

Xiang Dehui,Yang Bolan,Yu Feihong,Chen Xinjian

Publisher

SPIE

Reference8 articles.

2. Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with nonsmall cell lung cancer;Nestle,2005

3. An iterative technique to segment PET lesions using a Monte Carlo based mathematical model

4. A semiautomatic CT-based ensemble segmentation of lung tumors: Comparison with oncologists’ delineations and with the surgical specimen

5. Volumetric CT-based segmentation of NSCLC using 3D-Slicer

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