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Detection of Ductal Carcinoma Using Restricted Boltzmann Machine and Autoencoder (RBM-AE) in PET Scan

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Decision Intelligence Solutions (InCITe 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1080))

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Abstract

The most common type of cancer among women is breast cancer. Recently, breast cancer has maximum mortality rate next to lung cancer. Breast cancer detection at an early stage can lower the risk of mortality. As per oncologists, detecting cancer at the beginning stage will avoid the spread of cancer tissue which can increase survival time. Here, the main issues are identifying the malignant tumors and distinguishing the malignant from benign, finally finding whether the cancer stage is mild or advanced. Therefore, the researchers of cancer study accomplished the challenges through the deep learning application. The restricted Boltzmann machine and autoencoder (RBM-AE) are proposed for detecting breast cancer in the PET imaging dataset in this research work. The performance evaluation of the RBM-AE is good when compared with existing methods. The proposed RBM-AE model detects the malignant tumor of the breast with high specificity and accuracy.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, India

    J. Lece Elizabeth Rani, M. P. Ramkumar & G. S. R. Emil Selvan

Authors
  1. J. Lece Elizabeth Rani
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  2. M. P. Ramkumar
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  3. G. S. R. Emil Selvan
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Corresponding author

Correspondence to J. Lece Elizabeth Rani .

Editor information

Editors and Affiliations

  1. Dy. Director (Academics) and Head - IT, Amity School of Engineering and Technology, Noida, Uttar Pradesh, India

    Nitasha Hasteer

  2. Centre for Intelligent Autonomous Manufacturing Systems, Queen’s University Belfast, Belfast, UK

    Seán McLoone

  3. School of Computer and Systems Sciences, Jawaharlal Nehru University, Delhi, India

    Manju Khari

  4. Department of Information Technology, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

    Purushottam Sharma

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Rani, J.L.E., Ramkumar, M.P., Selvan, G.S.R.E. (2023). Detection of Ductal Carcinoma Using Restricted Boltzmann Machine and Autoencoder (RBM-AE) in PET Scan. In: Hasteer, N., McLoone, S., Khari, M., Sharma, P. (eds) Decision Intelligence Solutions. InCITe 2023. Lecture Notes in Electrical Engineering, vol 1080. Springer, Singapore. https://doi.org/10.1007/978-981-99-5994-5_18

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