Lung Nodule Classification Based on SE-ResNet152 and Stratified Sampling
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7549-5_28
Reference22 articles.
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3. Bhatt, S.D., Soni, H.B., Kher, H.R., et al.: Automated system for lung nodule classification based on ResNet50 and SVM. In: 2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), pp. 1–5. IEEE (2022)
4. Kaya, A.: Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics. Comput. Methods Programs Biomed. 166, 77–89 (2018)
5. Ahmed, H.A., Mahmood, S.A.: A deep learning technique for lung nodule classification based on false positive reduction. J. Zankoy Sulaimani 21(1), 107–116 (2019)
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