Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensemble in Deep Convolutional Neural Networks

Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensemble in Deep Convolutional Neural Networks

The reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective and relatively low-cost method for the early diagnosis of breast cancer. The accuracy of the diagnosis is, however, highly dependent on the quality of the ultrasound systems and the exper...

詳細記述

書誌詳細
主要な著者: Elham Yousef Kalafi, Ata Jodeiri, Seyed Kamaledin Setarehdan, Ng Wei Lin, Kartini Rahmat, Nur Aishah Taib, Mogana Darshini Ganggayah, Sarinder Kaur Dhillon
フォーマット: 論文
言語:English
出版事項: MDPI AG 2021-10-01
シリーズ:Diagnostics
主題:
breast cancer
ultrasound
deep learning
diagnostic imaging
classification
オンライン･アクセス:https://www.mdpi.com/2075-4418/11/10/1859

インターネット

https://www.mdpi.com/2075-4418/11/10/1859

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