Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion
Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Breast cancer is becoming more dangerous by the day. The death rate in developing countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading to a lower death rate. Several researchers have worked on breast cancer segmentation and classification using various imaging modalities. The ultrasonic imaging modalit...
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Full title
Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion
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TN_cdi_doaj_primary_oai_doaj_org_article_b851d049a7854ab598ffa978470954c2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b851d049a7854ab598ffa978470954c2
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics11071212
