Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features

Author:

Lima ThiagoORCID,Luz Daniel,Oseas Antonio,Veras Rodrigo,Araújo Flávio

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ResNet50 Utilization for Bag Classification: A CNN Model Visualization Approach in Deep Learning;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. VSNet: classification of pulmonary nodules in 3D using vision transformer and sequence spatial attention mechanism;Multimedia Tools and Applications;2024-06-12

3. The Use of MobileNetV2 for Bag Classification Visualisation of a CNN model based on Deep Learning;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Performance Comparison of Deep Learning Methods for Lung Nodule Benign and Malignancy Classification;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

5. Introducing extended algorithm for respiratory tumor segmentation;Multimedia Tools and Applications;2024-02-08

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