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A deep learning-based automated diagnostic system for classifying mammographic lesions
BACKGROUND: Screening mammography has led to reduced breast cancer-specific mortality and is recommended worldwide. However, the resultant doctors’ workload of reading mammographic scans needs to be addressed. Although computer-aided detection (CAD) systems have been developed to support readers, th...
Autores principales: | Yamaguchi, Takeshi, Inoue, Kenichi, Tsunoda, Hiroko, Uematsu, Takayoshi, Shinohara, Norimitsu, Mukai, Hirofumi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337553/ https://www.ncbi.nlm.nih.gov/pubmed/32629712 http://dx.doi.org/10.1097/MD.0000000000020977 |
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