Detection and Identification of Lung Cancer Using an Improvised CNN Model: A Novel Approach to Assist Doctors in Diagnosing Lung Cancer
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3416-4_30
Reference12 articles.
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2. Satyanarayana, K.V., Rao, N.T., Bhattacharyya, D., Hu, Y.-C.: Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm. Multidimension. Syst. Signal Process. (2021). https://doi.org/10.1007/s11045-021-00800-0
3. Joshua, E.S.N., Battacharyya, D., Doppala, B.P., Chakkravarthy, M.: Extensive statistical analysis on novel coronavirus: towards worldwide health using apache spark. In: EAI/Springer Innovations in Communication and Computing, pp. 155–178 (2021).https://doi.org/10.1007/978-3-030-72752-9_8
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5. Huang, K., Mo, Z., Zhu, W., Liao, B., Yang, Y., Wu, F.-X.: Prediction of target-drug therapy by identifying gene mutations in lung cancer with histopathological stained image and deep learning techniques. Front. Oncol. 11. https://doi.org/10.3389/fonc.2021.642945
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