Deep Learning-Based 2D Labeled Localization Photoacoustic Computed Tomography. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

Deep Learning-Based 2D Labeled Localization Photoacoustic Computed Tomography.

Caption

Droplet counts of 240,000 and 20,000 are used for the dense and sparse localization-based images, respectively. Close-up views of the regions outlined by the i green and ii blue dashed boxes. The connectivity of blood vessels can be compared in the magnified images: it is difficult to recognize the vascular morphology in the regular and sparse localization-based images, whereas the deep learning and dense images exhibit microvasculatures.

Credit

by Jongbeom Kim, Gyuwon Kim, Lei Li,Pengfei Zhang, Jin Young Kim,Yeonggeun Kim, Hyung Ham Kim, Lihong V. Wang, Seungchul Lee, Chulhong Kim

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License

CC BY

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