Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies

Author:

Bi Lei,Kim Jinman,Kumar Ashnil,Wen Lingfeng,Feng Dagan,Fulham Michael

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference53 articles.

1. Automated Lung Tumor Segmentation for Whole Body PET Volume Based on Novel Downhill Region Growing;Ballangan,2010

2. Automated and robust PERCIST-based thresholding framework for whole body PET-CT studies;Bi;Engineering in Medicine and Biology Society (EMBC) 2012 Annual International Conference of the IEEE,2012

3. Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography;Bi;Engineering in Medicine and Biology Society (EMBC) 2013 35th Annual International Conference of the IEEE,2013

4. Classification of thresholded regions based on selective use of PET, CT and PET-CT image features;Bi;Engineering in Medicine and Biology Society (EMBC) 2014 36th Annual International Conference of the IEEE,2014

5. Multi-stage thresholded region classification for whole-body PET-CT lymphoma studies;Bi,2014

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