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A Novel Method of CT Chest Image Segmentation and Analysis for Early Lung Cancer Detection

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Abstract

Lung cancer is one of the most prominent and deadly diseases across the world. However, early detection of this disease has proved very useful in increasing the survival rate of the affected patients. With the development of sophisticated image processing algorithms, computer-aided diagnosis (CAD) is evolving as one of the most efficient methods for detecting lung cancer. CT scanning technique is routinely applied for diagnosing lung cancer. These CT scan images are checked by radiologists who comment on the presence or absence of cancer. However, CT scan images of an early-stage cancer are very hard to be identified with naked eyes. In this scenario, the CAD plays a major role to assist the radiologists. The four steps of images processing techniques employed in CAD are—(1) reading the image, (2) preprocessing or filtering the image, (3) morphological processing that involves erosion, dilation, etc., and (4) detecting a cancerous region in an image and improving the cancerous region's status as a candidate for true or false positive status. The proposed method in this work uses efficient image segmentation algorithms that help to enhance the accuracy of the diagnosis.

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This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. D.K.T.E. Society’s Textile & Engineering Institute, Ichalkaranji, India

    Vinod B. Kumbhar, Saurabh R. Prasad & Suyog B. Rayjadhav

  2. Kolhapur Institute of Technology’s College of Engineering, Kolhapur, India

    Mahesh S. Chavan

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  1. Vinod B. Kumbhar
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  2. Mahesh S. Chavan
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  3. Saurabh R. Prasad
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  4. Suyog B. Rayjadhav
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Correspondence to Vinod B. Kumbhar.

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This manuscript deals with early lung cancer detection techniques, and there are no potential conflicts of interest for the authors to disclose. There are no financial interests to record, and all co-authors have seen and agreed with the contents of the work. The authors certify that the contribution is unique and that it is not currently under consideration by another publisher.

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Kumbhar, V.B., Chavan, M.S., Prasad, S.R. et al. A Novel Method of CT Chest Image Segmentation and Analysis for Early Lung Cancer Detection. J. Inst. Eng. India Ser. B 103, 1875–1883 (2022). https://doi.org/10.1007/s40031-022-00808-5

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