Spectral analysis for pulmonary nodule detection using the optimal fractional S-Transform-Reference-Cited by-同舟云学术

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Spectral analysis for pulmonary nodule detection using the optimal fractional S-Transform

Published:2020-04 Issue: Volume:119 Page:103675
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Sun Lingma,Wang Zhuoran,Pu Hong,Yuan Guohui,Guo Lu,Pu Tian,Peng Zhenming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference44 articles.

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3. Large scale validation of the M5L lung CAD on heterogeneous CT datasets;Lopez Torres;Med. Phys.,2015

4. Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs;Nam;Radiology,2019

5. Glossary of terms for thoracic imaging;Hansell;Radiology,2008

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