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GUI-CAD Tool for Segmentation and Classification of Abnormalities in Lung CT Image

GUI-CAD Tool for Segmentation and Classification of Abnormalities in Lung CT Image

V. Vijaya Kishore, R.V.S. Satyanarayana
Copyright: © 2023 |Pages: 20
ISBN13: 9781668475447|ISBN10: 1668475448|EISBN13: 9781668475454
DOI: 10.4018/978-1-6684-7544-7.ch034
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MLA

Kishore, V. Vijaya, and R.V.S. Satyanarayana. "GUI-CAD Tool for Segmentation and Classification of Abnormalities in Lung CT Image." Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, edited by Information Resources Management Association, IGI Global, 2023, pp. 686-705. https://doi.org/10.4018/978-1-6684-7544-7.ch034

APA

Kishore, V. V. & Satyanarayana, R. (2023). GUI-CAD Tool for Segmentation and Classification of Abnormalities in Lung CT Image. In I. Management Association (Ed.), Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention (pp. 686-705). IGI Global. https://doi.org/10.4018/978-1-6684-7544-7.ch034

Chicago

Kishore, V. Vijaya, and R.V.S. Satyanarayana. "GUI-CAD Tool for Segmentation and Classification of Abnormalities in Lung CT Image." In Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, edited by Information Resources Management Association, 686-705. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-7544-7.ch034

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Abstract

A vital necessity for clinical determination and treatment is an opportunity to prepare a procedure that is universally adaptable. Computer aided diagnosis (CAD) of various medical conditions has seen a tremendous growth in recent years. The frameworks combined with expanding capacity, the coliseum of CAD is touching new spaces. The goal of proposed work is to build an easy to understand multifunctional GUI Device for CAD that performs intelligent preparing of lung CT images. Functions implemented are to achieve region of interest (ROI) segmentation for nodule detection. The nodule extraction from ROI is implemented by morphological operations, reducing the complexity and making the system suitable for real-time applications. In addition, an interactive 3D viewer and performance measure tool that quantifies and measures the nodules is integrated. The results are validated through clinical expert. This serves as a foundation to determine, the decision of treatment and the prospect of recovery.

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