Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method
Sign Up to like & getrecommendations! Published in 2017 at "Medical Physics"
DOI: 10.1002/mp.12480
Abstract: Purpose: We propose a single network trained by pixel‐to‐label deep learning to address the general issue of automatic multiple organ segmentation in three‐dimensional (3D) computed tomography (CT) images. Our method can be described as a… read more here.
Keywords: network; anatomical structure; segmentation; deep learning ... See more keywords
Curv-net: Curvilinear structure segmentation network based on selective kernel and Multi-BI-ConvLSTM.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15546
Abstract: PURPOSE Accurately segmenting curvilinear structures, e.g., retinal blood vessels or nerve fibers, in the medical image is essential to the clinical diagnosis of many diseases. Recently, deep learning has become a popular technology to deal… read more here.
Keywords: multi convlstm; segmentation; curv net; curvilinear structure ... See more keywords
Benchmarking Deep Learning Models for Tooth Structure Segmentation
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DOI: 10.1177/00220345221100169
Abstract: A wide range of deep learning (DL) architectures with varying depths are available, with developers usually choosing one or a few of them for their specific task in a nonsystematic way. Benchmarking (i.e., the systematic… read more here.
Keywords: deep learning; tooth structure; model; structure segmentation ... See more keywords