Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics

Author:

Kaya Aydin

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference54 articles.

1. W.H.O., World Health Organization Fact Sheet—Cancer, 2014.

2. Segmentation of abdominal organs from Mr Images using multi-level hierarchical classification;Selvi;J. Fac. Eng. Archit. Gazi Univ.,2015

3. A comparison of lung nodule segmentation algorithms: methods and results from a multi-institutional study;Kalpathy-Cramer;J. Digital Imaging,2016

4. Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach;Gu;Pattern Recognit.,2013

5. Adhesion pulmonary nodules detection based on dot-filter and extracting centerline algorithm;Liu;Comput. Math. Method Med.,2015

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