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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Volume 7, 2019 - Issue 5-6: Special Issue: VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE). Edited by: João Manuel R. S. Tavares and Renato Natal Jorge
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Original Articles

Lesion classification in mammograms using convolutional neural networks and transfer learning

Ana C. PerreInstituto de Telecomunicações and Faculdade Ciências da Saúde, Universidade da Beira Interior, Covilhã, PortugalCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6668-2620View further author information
ORCID Icon,
Luís A. AlexandreInstituto de Telecomunicações and Departamento de Informática, Universidade da Beira Interior, Covilhã, PortugalView further author information
&
Luís C. FreireEscola Superior de Tecnologia da Saúde de Lisboa, Instituto Politécnico de Lisboa, Lisboa, PortugalView further author information
Pages 550-556 | Received 15 Dec 2017, Accepted 02 Jul 2018, Published online: 26 Jul 2018

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Nivea Kesav & M.G. Jibukumar. (2022) Multi-Channel CNN based image classification using SKIP connection and MSVM. International Journal of Computers and Applications 44:10, pages 981-990.
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Articles from other publishers (9)

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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Madallah Alruwaili & Walaa Gouda. (2022) Automated Breast Cancer Detection Models Based on Transfer Learning. Sensors 22:3, pages 876.
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Farnoosh Azour & Azzedine Boukerche. (2022) Design Guidelines for Mammogram-Based Computer-Aided Systems Using Deep Learning Techniques. IEEE Access 10, pages 21701-21726.
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Mariam Busaleh, Muhammad Hussain, Hatim A. Aboalsamh & Fazal-e- Amin. (2021) Breast Mass Classification Using Diverse Contextual Information and Convolutional Neural Network. Biosensors 11:11, pages 419.
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A. N. Ruchai, V. I. Kober, K. A. Dorofeev, V. N. Karnaukhov & M. G. Mozerov. (2021) Classification of Breast Abnormalities Using a Deep Convolutional Neural Network and Transfer Learning. Journal of Communications Technology and Electronics 66:6, pages 778-783.
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Prabira Kumar Sethy, Chanki Pandey, Dr. Mohammad Rafique Khan, Santi Kumari Behera, K. Vijaykumar & Dr. Sibarama Panigrahi. (2021) A cost-effective computer-vision based breast cancer diagnosis. Journal of Intelligent & Fuzzy Systems, pages 1-11.
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Sharaf J. Malebary & Arshad Hashmi. (2021) Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram. IEEE Access 9, pages 55312-55328.
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Soumya Sara Koshy & L. Jani Anbarasi. 2021. International Virtual Conference on Industry 4.0. International Virtual Conference on Industry 4.0 87 98 .
Lian Zou, Shaode Yu, Tiebao Meng, Zhicheng Zhang, Xiaokun Liang & Yaoqin Xie. (2019) A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis. Computational and Mathematical Methods in Medicine 2019, pages 1-16.
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