Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensem...
Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensemble in Deep Convolutional Neural Networks
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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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 experience of the users (radiologists). The use of deep...
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Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensemble in Deep Convolutional Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_13301f51623c4da5b3da361a63856585
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_13301f51623c4da5b3da361a63856585
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics11101859
