Deep learning for biomedical photoacoustic imaging: A review
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DOI: 10.1016/j.pacs.2021.100241
Abstract: Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue, creating the potential for numerous exciting clinical applications. However, extraction… read more here.
Keywords: pai; photoacoustic imaging; deep learning; imaging ... See more keywords
Deep Learning in the Biomedical Applications: Recent and Future Status
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DOI: 10.3390/app9081526
Abstract: Deep neural networks represent, nowadays, the most effective machine learning technology in biomedical domain. In this domain, the different areas of interest concern the Omics (study of the genome—genomics—and proteins—transcriptomics, proteomics, and metabolomics), bioimaging (study… read more here.
Keywords: future status; applications recent; biomedical applications; recent future ... See more keywords