research-article

A New Mammography Lesion Classification Method Based on Convolutional Neural Network

Authors:

RunZe WangAuthors Info & Claims

ICMLSC '19: Proceedings of the 3rd International Conference on Machine Learning and Soft Computing

Pages 39 - 43

https://doi.org/10.1145/3310986.3311019

Published: 25 January 2019 Publication History

Abstract

Breast cancer is a malignant tumor disease that is extremely high incidence among women around the world. And the cause of the disease is still unclear, the key to prevention and treatment of breast cancer is detection, diagnosis and treatment early. Mammography is the first choice for early diagnosis, however, limited experts have difficulty dealing with a large number of mammography images. Therefore, this paper is mainly devoted to the study of intelligent classification of mammography images, and applies the latest image processing method---Convolutional Neural Network (CNN) to study the classification of mammography images. In addition, we propose a new classification method of mammography images, which is to classify the lesions of normal (N), benign (B) and malignant (M) under different gland types.

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Cited By

Zerouaoui HIdri AEl Asnaoui K(2020)Machine Learning and Image Processing for Breast Cancer: A Systematic MapTrends and Innovations in Information Systems and Technologies10.1007/978-3-030-45697-9_5(44-53)Online publication date: 18-May-2020
https://doi.org/10.1007/978-3-030-45697-9_5

Index Terms

A New Mammography Lesion Classification Method Based on Convolutional Neural Network
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by regression

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ICMLSC '19: Proceedings of the 3rd International Conference on Machine Learning and Soft Computing

January 2019

268 pages

ISBN:9781450366120

DOI:10.1145/3310986

Copyright © 2019 ACM.

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Publication History

Published: 25 January 2019

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ICMLSC 2019

ICMLSC 2019: 2019 the 3rd International Conference on Machine Learning and Soft Computing

January 25 - 28, 2019

Da Lat, Viet Nam

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Cited By

Zerouaoui HIdri AEl Asnaoui K(2020)Machine Learning and Image Processing for Breast Cancer: A Systematic MapTrends and Innovations in Information Systems and Technologies10.1007/978-3-030-45697-9_5(44-53)Online publication date: 18-May-2020
https://doi.org/10.1007/978-3-030-45697-9_5

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