The Classification of Mammogram Using Convolutional Neural Network with Specific Image Preprocessing for Breast Cancer Detection

Hao Chun Lu, El Wui Loh, Shih Chen Huang

研究成果: 書貢獻/報告類型會議貢獻

15 引文 斯高帕斯(Scopus)

摘要

The incidence rate of breast cancer continued to rise in the last few decades. Current screening strategy of breast cancer is based on classic X-ray imaging. The sensitivity and specificity of the diagnosis are largely depend on the experiences of the radiologists, and uncertain diagnosis is quite frequent because of resolution limitations and the concerns of lawsuits arisen from wrong diagnosis or undetected lesions. The convolutional neural network is an effective technique for classification in deep learning model. In this study, we utilized median filter, contrast-limited adaptive histogram equalization, and data augmentation to preprocess over 9,000 mammograms, and trained a classified model by using convolutional neural network. The experiment results demonstrated that the accuracy of model with preprocessed images significantly outperformed the model without preprocessed images.
原文英語
主出版物標題2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面9-12
頁數4
ISBN(電子)9781728108315
DOIs
出版狀態已發佈 - 5月 2019
事件2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019 - Chengdu, 中国
持續時間: 5月 25 20195月 28 2019

出版系列

名字2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019

會議

會議2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019
國家/地區中国
城市Chengdu
期間5/25/195/28/19

ASJC Scopus subject areas

  • 電腦科學應用
  • 資訊系統與管理
  • 控制和優化
  • 電腦視覺和模式識別
  • 人工智慧

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