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Convolutional Neural Networks for Image Steganalysis
BioNanoScience, 2016© 2016, Springer Science+Business Media New York.Mathematical models based on human neuronal network behavior have recently become extremely popular and arouse interest as a solution of various computer vision problems. One of these models—Convolutional Neural Network—has been proven to be very efficient for object recognition problems and resembles ...
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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Better Steganalysis (BEST) - Reduction of Interfering Influence of Image Content on Steganalysis
2009Abstract : Steganography is the art and science of invisible communication. Its aim is the transmission of information embedded invisibly into carrier data. The goal of steganalysis is to discover steganographic alterations to carrier data. The project BEST (Better Steganalysis) explored the influence of image content when detecting steganography.
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PIAFusion: A progressive infrared and visible image fusion network based on illumination aware
Information Fusion, 2022Linfeng Tang, Jiteng Yuan, Hao Zhang
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The impact of breast cancer on sexuality, body image, and intimate relationships
Ca-A Cancer Journal for Clinicians, 1991Leslie R Schover
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nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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