A multistep deep learning framework for the automated detection and segmentation of astrocytes in fluorescent images of brain tissue
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-61953-9
Abstract: While astrocytes have been traditionally described as passive supportive cells, studies during the last decade have shown they are active players in many aspects of CNS physiology and function both in normal and disease states.… read more here.
Keywords: detection; multistep deep; fluorescent images; deep learning ... See more keywords
CNN-Modified Encoders in U-Net for Nuclei Segmentation and Quantification of Fluorescent Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3436509
Abstract: This research introduces an advanced approach to automate the segmentation and quantification of nuclei in fluorescent images through deep learning techniques. Overcoming inherent challenges such as variations in pixel intensities, noisy boundaries, and overlapping edges,… read more here.
Keywords: quantification; fluorescent images; fluorescent; quantification fluorescent ... See more keywords
Plant disease symptom segmentation in chlorophyll fluorescence imaging with a synthetic dataset
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.969205
Abstract: Despite the wide use of computer vision methods in plant health monitoring, little attention is paid to segmenting the diseased leaf area at its early stages. It can be explained by the lack of datasets… read more here.
Keywords: disease symptom; plant disease; fluorescent images; plant ... See more keywords