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Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection

  • Published:2020-07 Issue: Volume:107 Page:101881
  • ISSN:0933-3657
  • Container-title:Artificial Intelligence in Medicine
  • language:en
  • Short-container-title:Artificial Intelligence in Medicine

Author:

Chen Sheng,Han Yaqi,Lin Jinqiu,Zhao Xiangyu,Kong Ping

Funder

National Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference44 articles.

1. World cancer report 2014. Lyons: international agency for research on Cancer nonsertal publication;Stewart,2014

2. Automated detection of lung nodules in computed tomography images: a review;Lee;Mach Vis Appl,2012

3. An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy;Shen;Comput Biol Med,2015

4. Differentiating pre- and minimally invasive from invasive adenocarcinoma using CT-features in persistent pulmonary part-solid nodules in Caucasian patients;Cohen;Eur J Radiol,2015

5. Optimal image feature set for detecting lung nodules on chest X-ray images;Wei;Comput Assist Radiol Surg,2002

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