Ensemble classification for predicting the malignancy level of pulmonary nodules on chest computed tomography images-Reference-Cited by-同舟云学术

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Ensemble classification for predicting the malignancy level of pulmonary nodules on chest computed tomography images

Published:2020-04-27 Issue:1 Volume:20 Page:401-408
ISSN:1792-1074
Container-title:Oncology Letters
language:
Short-container-title:Oncol Lett

Author:

Xiao Ning¹,Qiang Yan¹,Bilal Zia Muhammad¹,Wang Sanhu²,Lian Jianhong³

Affiliation:

1. College of Information and Computer, Taiyuan University of Technology, Taiyuan, Shanxi 030600, P.R. China

2. Department of Computer Science and Technology, Lvliang University, Lvliang, Shanxi 033000, P.R. China

3. Department of Thoracic Surgery, Shanxi Cancer Hospital, Taiyuan, Shanxi 030000, P.R. China

Publisher

Spandidos Publications

Subject

Cancer Research,Oncology

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1. Attribute and Malignancy Analysis of Lung Nodule on Chest CT with Cause-and-Effect Logic;Journal of Medical and Biological Engineering;2024-09-13

2. A clinical trial termination prediction model based on denoising autoencoder and deep survival regression;Quantitative Biology;2024-04-12

3. Uncertainty-aware image classification on 3D CT lung;Computers in Biology and Medicine;2024-04

4. Weighted ensemble CNN for lung nodule classification: an evolutionary approach;Multimedia Tools and Applications;2024-01-29

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