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A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique

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Abstract

Breast cancer is the second most common prevalent type of cancer found in women around the world. Early detection and screening of individuals can be beneficial in helping to bring down the high mortality rate. Computer aided diagnosis (CAD), mammography, computed tomography (CT), ultrasound, and biopsy are the most common procedures to diagnose the cancer. This paper proposed a computer aided ensemble method for diagnosis of breast cancer using a ReNet18 and support vector machine (SVM) where pretrained ReNet18 model is used to extracts the features from the X-ray image and SVM is used to diagnose the cancer. In order to improve the performance, haze reduction is applied to enhance the images quality followed by tumor segmentation to separate the tumor region from the image by using histogram-based K-means technique. The experiments were analyzed over the BreakHis dataset, which contains two categories benign and malignant. The proposed model is evaluated for four (40x,100x,200x,400x) magnification factor. Experiment result shows that, proposed model gives higher accuracy of 92.6% for 200x magnification. The highest specificity and precision obtained are 93.1% and 86.5%, respectively, for the100x magnification factor. The obtained results proved that the proposed architecture is efficient in image classification of histopathological breast cancer cell images.

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Data Availability

The dataset used in this paper is publicly available.

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Authors and Affiliations

  1. Indian Institute of Information Technology, Bhopal, India

    Yatendra Sahu

  2. Koneru Lakshmaiah Education Foundation, Hyderabad, India

    Abhishek Tripathi

  3. Pandit Deendayal Energy University, Gandhinagar, India

    Rajeev Kumar Gupta

  4. Maulana Azad National Institute of Technology, Bhopal, India

    Pranav Gautam & R. K. Pateriya

  5. School of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India

    Abhishek Gupta

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  1. Yatendra Sahu
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  2. Abhishek Tripathi
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  3. Rajeev Kumar Gupta
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  4. Pranav Gautam
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  5. R. K. Pateriya
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Sahu, Y., Tripathi, A., Gupta, R.K. et al. A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique. Multimed Tools Appl 82, 14055–14075 (2023). https://doi.org/10.1007/s11042-022-13807-x

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  • DOI: https://doi.org/10.1007/s11042-022-13807-x

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