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Journal of Medical Engineering & Technology Volume 38, 2014 - Issue 7
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Research Article

A CAD system to analyse mammogram images using fully complex-valued relaxation neural network ensembled classifier

Saraswathi DDepartment of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology PuducherryIndiaCorrespondence[email protected]
&
Srinivasan EDepartment of Electronics and Communication Engineering, Pondicherry Engineering College PuducherryIndia
Pages 359-366 | Received 12 Dec 2013, Accepted 01 Jul 2014, Published online: 07 Aug 2014

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Nehmat Houssami, Georgia Kirkpatrick-Jones, Naomi Noguchi & Christoph I. Lee. (2019) Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice. Expert Review of Medical Devices 16:5, pages 351-362.
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D. Saraswathi & E. Srinivasan. (2017) A high-sensitivity computer-aided system for detecting microcalcifications in digital mammograms using curvelet fractal texture features. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 5:4, pages 263-273.
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Articles from other publishers (6)

Adyasha Sahu, Pradeep Kumar Das & Sukadev Meher. (2023) Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms. Physica Medica 114, pages 103138.
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Soumya Sara Koshy, L. Jani Anbarasi, Malathy Jawahar & Vinayakumar Ravi. (2022) Breast cancer image analysis using deep learning techniques – a survey. Health and Technology 12:6, pages 1133-1155.
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Jatinder Manhas, Rachit Kumar Gupta & Partha Pratim Roy. (2021) A Review on Automated Cancer Detection in Medical Images using Machine Learning and Deep Learning based Computational Techniques: Challenges and Opportunities. Archives of Computational Methods in Engineering 29:5, pages 2893-2933.
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Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Azhar Imran & Khalil Ur Rehman. (2020) A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities. IEEE Access 8, pages 165779-165809.
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Nisreen I.R. Yassin, Shaimaa Omran, Enas M.F. El Houby & Hemat Allam. (2018) Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review. Computer Methods and Programs in Biomedicine 156, pages 25-45.
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Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis & Yong Man Ro. (2016) Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography. Expert Systems with Applications 46, pages 106-121.
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