Publisher
Springer Nature Switzerland
Reference26 articles.
1. Abdelrahman, S.A., Abdelwahab, M.M., Sayed, M.S.: Pulmonary nodule and malignancy classification employing triplanar views and convolutional neural network. In: 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 594–597. IEEE (2019)
2. Agnes, S.A., Anitha, J.: Automatic 2D lung nodule patch classification using deep neural networks. In: 2020 Fourth International Conference on Inventive Systems and Control (ICISC), pp. 500–504. IEEE (2020)
3. Al-Shabi, M., Lan, B.L., Chan, W.Y., Ng, K.H., Tan, M.: Lung nodule classification using deep local-global networks. Int. J. Comput. Assist. Radiol. Surg. 14(10), 1815–1819 (2019)
4. Ali, I., Muzammil, M., Haq, I.U., Khaliq, A.A., Abdullah, S.: Efficient lung nodule classification using transferable texture convolutional neural network. IEEE Access 8, 175859–175870 (2020)
5. Ali, I., Muzammil, M., Haq, I.U., Khaliq, A.A., Abdullah, S.: Deep feature selection and decision level fusion for lungs nodule classification. IEEE Access 9, 18962–18973 (2021)