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Using Deep Learning Techniques in Detecting Lung Cancer

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Deep Learning for Cancer Diagnosis

Part of the book series: Studies in Computational Intelligence ((SCI,volume 908))

Abstract

Today, with the rapid rise in the number of illnesses, there is a significant increase in the number of people who died due to these diseases. Nowadays, cancer diseases, in particular, are one of the important types of diseases that cause fatal outcomes. The World Health Organization stated that approximately 9.6 million people died from cancer worldwide in 2018. According to the World Health Organization, among these cancer types, approximately 1.8 million people pass away from cancer. Lung cancer has been identified by the World Health Organization as the deadliest cancer type among all cancer types. For this reason, the early diagnosis of lung cancer is very important for human health. Computed Tomography (CT) images are frequently utilized in the detection of lung cancer. In this book section, academic studies on the diagnosis of lung cancer are examined.

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Author information

Authors and Affiliations

  1. Faculty of Technology Mechatronics Engineering, Isparta University of Applied Sciences, Isparta, Turkey

    Osamah Khaled Musleh Salman & Bekir Aksoy

  2. Senirkent Vocational School Electric and Energy Department, Isparta University of Applied Sciences, Isparta, Turkey

    Koray Özsoy

Authors
  1. Osamah Khaled Musleh Salman
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  2. Bekir Aksoy
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  3. Koray Özsoy
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Correspondence to Bekir Aksoy .

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Editors and Affiliations

  1. Department of Computer Engineering, Süleyman Demirel University, Isparta, Turkey

    Utku Kose

  2. Faculty of Engineering, Al-Balqa Applied University, Balqa, Jordan

    Jafar Alzubi

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Salman, O.K.M., Aksoy, B., Özsoy, K. (2021). Using Deep Learning Techniques in Detecting Lung Cancer. In: Kose, U., Alzubi, J. (eds) Deep Learning for Cancer Diagnosis. Studies in Computational Intelligence, vol 908. Springer, Singapore. https://doi.org/10.1007/978-981-15-6321-8_8

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