Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule-Reference-Cited by-同舟云学术

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Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule

Published:2023-01 Issue: Volume:79 Page:104217
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Qiao Jianping,Fan Yanling,Zhang Mowen,Fang Kunlun,Li Dengwang,Wang Zhishun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference56 articles.

1. Self-supervised transfer learning based on domain adaptation for benign-malignant lung nodule classification on thoracic CT;Huang;IEEE. J. Biomed. Health. Inform.,2022

2. Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification;Halder;Biomed. Signal. Process. Control.,2022

3. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries;Sung;CA-Cancer. J. Clin.,2021

4. Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules;Wang;Biomed. Signal. Process. Control.,2021

5. Hessian-MRLoG: Hessian information and multi-scale reverse LoG filter for pulmonary nodule detection;Mao;Comput. Biol. Med.,2021

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1. Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging;Biomedical Signal Processing and Control;2024-10

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

3. Advancing Pulmonary Nodule Diagnosis by Integrating Engineered and Deep Features Extracted from CT Scans;Algorithms;2024-04-18

4. Enhanced lung cancer detection: Integrating improved random walker segmentation with artificial neural network and random forest classifier;Heliyon;2024-04

5. A Bird’s Eye View Approach on the Usage of Deep Learning Methods in Lung Cancer Detection and Future Directions Using X-Ray and CT Images;Archives of Computational Methods in Engineering;2024-03-20

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