Dynamic Programming Based Segmentation in Biomedical Imaging
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2017.02.001
Abstract: Many applications in biomedical imaging have a demand on automatic detection of lines, contours, or boundaries of bones, organs, vessels, and cells. Aim is to support expert decisions in interactive applications or to include it… read more here.
Keywords: programming based; based segmentation; segmentation biomedical; biomedical imaging ... See more keywords
AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12122952
Abstract: Semantic segmentation of biomedical images found its niche in screening and diagnostic applications. Recent methods based on deep learning convolutional neural networks have been very effective, since they are readily adaptive to biomedical applications and… read more here.
Keywords: segmentation; architecture; biomedical images; segmentation biomedical ... See more keywords