Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-08823-8
Abstract: Forensic entomology is the branch of forensic science that is related to using arthropod specimens found in legal issues. Fly maggots are one of crucial pieces of evidence that can be used for estimating post-mortem… read more here.
Keywords: forensically important; based images; important fly; convolutional neural ... See more keywords
Undetectable steganographic method for palette-based images
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.6.063007
Abstract: Abstract. Steganography is a technique applied to ensure secure communication. It is challenged by visual observation or statistical analysis to ascertain whether a message is hidden within a cover medium. Several steganographic methods have been… read more here.
Keywords: palette based; method; based images; undetectable steganographic ... See more keywords
Assessment of Iodine Contrast-To-Noise Ratio in Virtual Monoenergetic Images Reconstructed from Dual-Source Energy-Integrating CT and Photon-Counting CT Data
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DOI: 10.3390/diagnostics12061467
Abstract: To evaluate whether the contrast-to-noise ratio (CNR) of an iodinated contrast agent in virtual monoenergetic images (VMI) from the first clinical photon-counting detector (PCD) CT scanner is superior to VMI CNR from a dual-source dual-energy… read more here.
Keywords: contrast; water; energy; based images ... See more keywords