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Spectral Clustering to Detect Malignant Prostate Using Multimodal Images

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ICDSMLA 2021

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 947))

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Abstract

Globally, the prostate is a second most frequent cancer in men and is the fifth leading cause of death. At early state, prostates are asymptomatic and do not require any care. However, if screened at early state, it can be removed immediately. The screening is done either with most widely used transrectal TRUS imaging or with magnetic imaging. The paper introduces a novel approach to demark the prostate boundary using spectral clustering approach with Gaussian similarity. The multimodal image database is obtained with the ethically approved collaboration. The algorithm is tested on 217 MRI images and 402 TRUS images. The competency of the approach was evaluated with respect to five quality metrics in both the modalities. The results showed that, the proposed approach is robust in demarking the prostate region with segmentation accuracy of 92.02 and \(93.78\%\) for MRI and TRUS database. The highest average sensitivity and specificity of \(95.7\%\) in segmenting MRI and TRUS images shows the robustness of the proposed SC approach in accurate delineation of prostate boundaries.

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Authors and Affiliations

  1. College of Engineering, Pune, 411005, India

    Kiran Ingale & Pratibha Shingare

  2. Radiology, Bharati Vidyapeeth Medical College, Pune, 411043, India

    Mangal Mahajan

Authors
  1. Kiran Ingale
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  2. Pratibha Shingare
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  3. Mangal Mahajan
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Corresponding author

Correspondence to Kiran Ingale .

Editor information

Editors and Affiliations

  1. BioAxis DNA Research Centre Private Ltd., Hyderabad, Telangana, India

    Amit Kumar

  2. Department of Computer Engineering, Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano, Salerno, Italy

    Sabrina Senatore

  3. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, Telangana, India

    Vinit Kumar Gunjan

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Ingale, K., Shingare, P., Mahajan, M. (2023). Spectral Clustering to Detect Malignant Prostate Using Multimodal Images. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2021. Lecture Notes in Electrical Engineering, vol 947. Springer, Singapore. https://doi.org/10.1007/978-981-19-5936-3_51

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  • DOI: https://doi.org/10.1007/978-981-19-5936-3_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5935-6

  • Online ISBN: 978-981-19-5936-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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