Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography

Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography Publisher

Skalunova M¹ ; Shariaty F¹ ; Rozov S¹ ; Radmard AR²

Show Affiliations

1. Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russian Federation
2. Tehran University of Medical Sciences, Tehran, Iran

Source: Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023 Published:2023

Abstract

The treatment of lung cancer remains a significant challenge in modern medicine, with no universally optimal treatment regimen established to date. In this study, we focused on investigating the efficacy and suitability of Carboplatin as a chemotherapy drug for lung cancer treatment. Utilizing machine learning algorithms and analyzing computed tomography (CT) data, we aimed to determine if Carboplatin or Cisplatin emerges as the best therapeutic option. Our methodology involved collecting and preprocessing clinical data, extracting deep features from CT images, developing a machine learning algorithm for image classification, and evaluating the performance of our approach. The results of our study provide valuable insights into the effectiveness of Carboplatin as a chemotherapy drug for lung cancer, aiding physicians in making informed treatment decisions based on individual patient characteristics. This research contributes to the advancement of personalized medicine and highlights the potential of machine learning and CT imaging in optimizing lung cancer treatment outcomes. © 2023 IEEE.

Style	Citing Format
MLA	Skalunova M, et al.. "Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography." Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023, vol. , no. , 2023, pp. 128-131.
APA	Skalunova M, Shariaty F, Rozov S, Radmard AR (2023). Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography. Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023, (), 128-131.
Chicago	Skalunova M, Shariaty F, Rozov S, Radmard AR. "Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography." Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023 , no. (2023): 128-131.
Harvard	Skalunova M et al. (2023) 'Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography', Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023, (), pp. 128-131.
Vancouver	Skalunova M, Shariaty F, Rozov S, Radmard AR. Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography. Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023. 2023;():128-131.
BibTex	@article{ author = {Skalunova M and Shariaty F and Rozov S and Radmard AR}, title = {Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography}, journal = {Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023}, volume = {}, number = {}, pages = {128-131}, year = {2023} }
RIS	TY - JOUR AU - Skalunova M AU - Shariaty F AU - Rozov S AU - Radmard AR TI - Personalized Chemotherapy Selection for Lung Cancer Patients Using Machine Learning and Computed Tomography JO - Proceedings of the 2023 International Conference on Electrical Engineering and Photonics# EExPolytech 2023 VL - IS - SP - 128 EP - 131 PY - 2023 ER -

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