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Prostate cancer detection using Henry firefly gas solubility optimization-based deep residual network

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Abstract

Accurate and appropriate prostate cancer detection can significantly reduce the death rate. In this research, the Henry Firefly Gas Solubility Optimization (HFGSO)-based Deep Residual Network (DRN) is established for the autonomous detection of prostate cancer. The pre-processing is done by Cuckoo Search-Based (T2FCS) filter and Type 2 Fuzzy. Subsequently, segmentation is exhibited by devised multi-objective SegNet scheme. The multi-objective SegNet method is newly designed by updating the objective function of SegNet with loss function. The multi-objective SegNet is trained by HFGSO. Then, data augmentation is done with cropping and rotation, which improves the performance of detection. At last, cancer identification is executed with DRN, and it is trained by HFGSO. The developed optimized multi-objective SegNet with DRN technique also achieved increased performance for the detection of cancer, with a sensitivity, specificity, and accuracy 0.9367, 0.9130, and 0.9263.

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Data Availability

The data underlying this article are available in Prostate MRI Dataset, “https://prostatemrimagedatabase.com/”.

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Acknowledgements

I would like to express my very great appreciation to the co-authors of this manuscript for their valuable and constructive suggestions during the planning and development of this research work.

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  1. Department of Computer Science and Engineering, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, Tamilnadu, India

    Siva Kumar Reddy & Kalaivani Kathirvelu

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  1. Siva Kumar Reddy
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  2. Kalaivani Kathirvelu
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All authors have made substantial contributions to conception and design, revising the manuscript, and the final approval of the version to be published. Also, all authors agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Correspondence to Siva Kumar Reddy.

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Reddy, S.K., Kathirvelu, K. Prostate cancer detection using Henry firefly gas solubility optimization-based deep residual network. Multimed Tools Appl 83, 29331–29352 (2024). https://doi.org/10.1007/s11042-023-16655-5

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