Article: Small cell lung tumour differentiation using F-18 (Fluorine-18) PET and smoothing using Gaussian 3D convolution operator Journal: International Journal of Nanotechnology (IJNT) 2023 Vol.20 No.1/2/3/4 pp.98 - 115 Abstract: The most common disease for smokers is lung cancer. The deadly type of lung cancer is Small Cell Lung Cancer (SCLC). Tumour identification becomes complicated these days. It is only in the final stage that this form of lung cancer can be detected. When the patient has some of the earlier symptoms of SCLC, they can be subjected to preliminary tests of cancer. So this paper presents the part of the identification of lung cancer by differentiating identified tumour cells using Fluorine-18 positron emission tomography (F-18 PET) and that can be smoothed using Gaussian 3D convolution operator. The performance analysis shows the lung image dataset showing differentiation of tumour cells by applying F-18 PET, smoothened image using Gaussian 3D convolution operator and simulation graphs for accuracy, sensitivity, precision which shows the improved accuracy and specificity using Gaussian 3D convolution operator. Inderscience Publishers - linking academia, business and industry through research

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Title: Small cell lung tumour differentiation using F-18 (Fluorine-18) PET and smoothing using Gaussian 3D convolution operator

Authors: J. Vijayaraj; D. Loganathan; T.P. Latchoumi; M. Venkata Pavan; P. Jhansi Lakshmi

Addresses: Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, 605014, India ' Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, 605014, India ' Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India ' Department of Mechanical Engineering, VFSTR (Deemed to be University), Andhra Pradesh, 522213, India ' Department of Computer Science and Engineering, VFSTR (Deemed to be University), Andhra Pradesh, 522213, India

Abstract: The most common disease for smokers is lung cancer. The deadly type of lung cancer is Small Cell Lung Cancer (SCLC). Tumour identification becomes complicated these days. It is only in the final stage that this form of lung cancer can be detected. When the patient has some of the earlier symptoms of SCLC, they can be subjected to preliminary tests of cancer. So this paper presents the part of the identification of lung cancer by differentiating identified tumour cells using Fluorine-18 positron emission tomography (F-18 PET) and that can be smoothed using Gaussian 3D convolution operator. The performance analysis shows the lung image dataset showing differentiation of tumour cells by applying F-18 PET, smoothened image using Gaussian 3D convolution operator and simulation graphs for accuracy, sensitivity, precision which shows the improved accuracy and specificity using Gaussian 3D convolution operator.

Keywords: small cell lung cancer; tumour cell; Fluorine-18 positron emission tomography; Gaussian 3D convolution operator; simulation; performance analysis.

DOI: 10.1504/IJNT.2023.131105

International Journal of Nanotechnology, 2023 Vol.20 No.1/2/3/4, pp.98 - 115

Received: 14 Apr 2021
Accepted: 09 Jun 2021
Published online: 31 May 2023 *

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Title: Small cell lung tumour differentiation using F-18 (Fluorine-18) PET and smoothing using Gaussian 3D convolution operator

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