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Periodic-net: an end-to-end data driven framework for diffuse optical imaging of breast cancer from noisy boundary data
SIGNIFICANCE: The machine learning (ML) approach plays a critical role in assessing biomedical imaging processes especially optical imaging (OI) including segmentation, classification, and reconstruction, intending to achieve higher accuracy efficiently. AIM: This research aims to develop an end-to-...
Autores principales: | Murad, Nazish, Pan, Min-Chun, Hsu, Ya-Fen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900678/ https://www.ncbi.nlm.nih.gov/pubmed/36761256 http://dx.doi.org/10.1117/1.JBO.28.2.026001 |
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