Handling of Feature Space Complexity for Texture Analysis in Medical Images-Reference-Cited by-同舟云学术

Handling of Feature Space Complexity for Texture Analysis in Medical Images

Published:2017 Issue: Volume: Page:163-191
ISSN:
Container-title:Biomedical Texture Analysis
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Author:

Song Yang,Cai Weidong

Publisher

Elsevier

Reference102 articles.

1. Lesion detection and characterization with context driven approximation in thoracic FDG PET-CT images of NSCLC studies;Song;IEEE Trans. Med. Imaging,2014

2. Accuracy of PET for diagnosis of solid pulmonary lesions with 18F-FDG uptake below the standardized uptake value of 2.5;Hashimoto;J. Nucl. Med.,2006

3. Automatic hot spot detection and segmentation in whole body FDG-PET images;Guan,2006

4. Automatic detection of lung tumor and abnormal regional lymph nodes in PET-CT images;Song;J. Nucl. Med.,2011

5. Discriminative pathological context detection in thoracic images based on multi-level inference;Song,2011

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