Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm-Reference-Cited by-同舟云学术

Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm

Author:

Sahu Satya Prakash¹^ORCID,Londhe Narendra D.²,Verma Shrish³,Singh Bikesh K.⁴^ORCID,Banchhor Sumit Kumar⁴^ORCID

Affiliation:

1. Department of Information Technology National Institute of Technology Raipur Raipur India

2. Department of Electrical Engineering National Institute of Technology Raipur Raipur India

3. Department of Electronics & Telecommunication Engineering National Institute of Technology Raipur Raipur India

4. Department of Biomedical Engineering National Institute of Technology Raipur Raipur India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

Reference52 articles.

1. American Cancer Society.Cancer facts and figures;2020.https://www.cancer.org.

4. False positives reduction in pulmonary nodule detection using a connected component analysis based approach;Sahu SP;Int J Biomed Eng Technol

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