International Journal of Computer Science & Network Security

국제컴퓨터통신보호논문지학회 (International Journal of Computer Science & Network Security)
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Lung Cancer Classification and Detection Using Deep Learning Technique

  • K.Sudha Rani (EIE Dept. VNRVJIET Hyderabad Telangana) ;
  • A.Suma Latha (EIE Dept. VRSEC Vijayawada Andhra Pradesh) ;
  • S.Sunitha Ratnam (Dept.of Physics MRECW Hyderabad Telangana) ;
  • J.Bhavani (EEE Dept. VNRVJIET Hyderabad Telangana) ;
  • J.Srinivasa Rao (EEE Dept. VNRVJIET Hyderabad Telangana) ;
  • N.Kavitha Rao (ECE Dept. MVSREC Hyderabad Telangana)
  • 투고 : 2024.10.05
  • 발행 : 2024.10.30
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초록

Lung cancer is a complex and frightening disease that typically results in death in both men and women. Therefore, it is more crucial to thoroughly and swiftly evaluate the malignant nodules. Recent years have seen the development of numerous strategies for diagnosing lung cancer, most of which use CT imaging. These techniques include supervisory and non-supervisory procedures. This study revealed that computed tomography scans are more suitable for obtaining reliable results. Lung cancer cannot be accurately predicted using unsupervised approaches. As a result, supervisory techniques are crucial in lung cancer prediction. Convolutional neural networks (CNNs) based on deep learning techniques has been used in this paper. Convolutional neural networks (CNN)-based deep learning procedures have produced results that are more precise than those produced by traditional machine learning procedures. A number of statistical measures, including accuracy, precision, and f1, have been computed.

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참고문헌

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