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An intelligent brain tumor segmentation using improved Deep Learning Model Based on Cascade Regression method

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Abstract

The brain tumor is formed by abnormal cells that develop and reproduce unpredictably. A timely diagnosis of a brain tumor amplifies the likelihood of living for the patient. Specialists generally deploy a manual methodology of segmentation when diagnosing brain tumours. In medical image processing, brain tumour fragmentation is significant. The Physicians typically employed a manual process of fragmentation when identifying brain tumours. It is not exact, is subject to inter-and intra-observer variability, and may include non-enhancing tissue. It is also time demanding. A new and Improved Deep Learning Model formulated on the Cascade Regression method (DLCR) is proposed for image segmentation to resolve these issues. The proposed method uses the normalization procedure for Pre-processing of Magnetic resonance imaging (MRI) images using Fully Convolutional Neural Network (FCNN) method. Then the feature extraction using the Gaussian Mixture Model (GMM) is utilized to to decrease the data and obtain the relevant characteristic from every feature vector. Then the Current methodologies, namely Machine Learning Predictive Model (MLPM), Deep Learning Framework (DLF) and Extreme Learning Machine Local Receptive Fields (ELM-LRF) were compared to our suggested method. The results show the proposed DLCR method has achieved a better sensitivity, specificity, recall ratio, precision ratio, peak signal-to-noise ratio (PSNR), and low Root Mean Square Error (RMSE) than the existing methods.

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Authors and Affiliations

  1. Department of Electronics & Communication, Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil, Tamilnadu, India

    Deepak V.K

  2. Department of Electronics & Instrumentation, Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil, Tamilnadu, India

    Sarath R

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Deepak V.K, Sarath R, contributed to the design and methodology of this study, the assessment of the outcomes and the writing of the manuscript.

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Correspondence to Deepak V.K.

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V.K, D., R, S. An intelligent brain tumor segmentation using improved Deep Learning Model Based on Cascade Regression method. Multimed Tools Appl 82, 20059–20078 (2023). https://doi.org/10.1007/s11042-022-13945-2

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