A novel lung cancer detection algorithm for CADs based on SSP and Level Set-Reference-Cited by-同舟云学术

A novel lung cancer detection algorithm for CADs based on SSP and Level Set

Author:

Zhu Hongbo¹,Pak Chun-Hyok¹²,Song Chunhe³,Dou Shengchang¹,Zhao Hai¹,Cao Peng¹⁴,Ye Xiangyun⁵

Affiliation:

1. School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China

2. Electronic Engineering faculty, Kim Chaek University of Technology, Pyongyang 999093, DPRK

3. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China

4. School of Public Foundation, China Medical University, Shenyang, Liaoning, China

5. Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference32 articles.

1. Lung and lung lobe segmentation methods at Fraunhofer MEVIS;Lassen;Fourth International Workshop on Pulmonary Image Analysis.,2011

2. Automatic segmentation of the lungs and lobes from thoracic CT scans;Rikxoort;Fourth International Workshop on Pulmonary Image Analysis.,2011

3. Automatic lung segmentation in MDCT Images;Weinheimer;The Fourth International Workshop on Pulmonary Image Analysis.,2011

4. Historic automated lung segmentation method: performance on LOLA11 data set;Lo;The Fourth International Workshop on Pulmonary image Analysis.,2011

5. Model-based segmentation of pathological lungs in volumetric CT data;Sun;The Third International Workshop on Pulmonary Image Analysis.,2010

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