Multi-scale 2.5D Integrated Model for False Positive Reduction in Abdominal Lymph Node Detection

Author:

Lu Changquan1ORCID,Yu Kun1ORCID,Zhang Xukun2ORCID,Hu Wenxin1ORCID

Affiliation:

1. School of Data Science & Engineering, East China Normal University, China

2. Academy for Eng. & Tech., Fudan University, China

Publisher

ACM

Reference18 articles.

1. Abdominal lymphadenopathy: spectrum of CT findings.

2. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

3. Nakamura Yoshihiko ”Investigation of optimal feature value set in false positive reduction process for automated ab-dominal lymph node detection method”. 9414(2015): 94143N-94143N-7. Nakamura Yoshihiko ”Investigation of optimal feature value set in false positive reduction process for automated ab-dominal lymph node detection method”. 9414(2015): 94143N-94143N-7.

4. Lin L , Tan Y , Schwartz L H , Hybrid detection of lung nodules on CT scan images[J] . Medical Physics , 2015 , 42(9). Lin L , Tan Y , Schwartz L H , Hybrid detection of lung nodules on CT scan images[J]. Medical Physics, 2015, 42(9).

5. Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection

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