Subject‐Level Segmentation Precision Weights for Volumetric Studies Involving Label Fusion
Sign Up to like & getrecommendations! Published in 2024 at "Human Brain Mapping"
DOI: 10.1002/hbm.70082
Abstract: In neuroimaging research, volumetric data contribute valuable information for understanding brain changes during both healthy aging and pathological processes. Extracting these measures from images requires segmenting the regions of interest (ROIs), and many popular methods… read more here.
Keywords: segmentation; precision weights; subject level; segmentation precision ... See more keywords
Mixed-precision weights network for field-programmable gate array
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0251329
Abstract: In this study, we introduced a mixed-precision weights network (MPWN), which is a quantization neural network that jointly utilizes three different weight spaces: binary {−1,1}, ternary {−1,0,1}, and 32-bit floating-point. We further developed the MPWN… read more here.
Keywords: precision weights; network; implementation; point ... See more keywords