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Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review
BACKGROUND: Recent advancements in computing power and state-of-the-art algorithms have helped in more accessible and accurate diagnosis of numerous diseases. In addition, the development of de novo areas in imaging science, such as radiomics and radiogenomics, have been adding more to personalize h...
Autores principales: | Hussain, Sadam, Lafarga-Osuna, Yareth, Ali, Mansoor, Naseem, Usman, Ahmed, Masroor, Tamez-Peña, Jose Gerardo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605943/ https://www.ncbi.nlm.nih.gov/pubmed/37884877 http://dx.doi.org/10.1186/s12859-023-05515-6 |
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