Data-Efficient and Explainable Multimodal Survival Prediction in NSCLC Using Deep Image Embeddings, Clinical Variables, and Gradient-Boosted Trees. [PDF]
Sahin S, Karacor AG.
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Synthetic Expansion of Blood Dielectric Spectra at Microwave Frequencies Using Data-Driven Methods. [PDF]
Alhummada I +5 more
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Artificial intelligence-based modeling and validation for prediction of drug delivery capacity and cytotoxicity in design of porous materials. [PDF]
Alshehri S, Pishnamazi M.
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Reversible Watermark with Large Capacity Based on the Prediction Error Expansion
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Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding
IEEE Transactions on Image Processing, 2013In prediction-error expansion (PEE) based reversible data hiding, better exploiting image redundancy usually leads to a superior performance. However, the correlations among prediction-errors are not considered and utilized in current PEE based methods. Specifically, in PEE, the prediction-errors are modified individually in data embedding.
Bo Ou, Rongrong Ni, Xiaolong Li
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Reversible Data Hiding Based on Dual Pairwise Prediction-Error Expansion
IEEE Transactions on Image Processing, 2021Reversible data hiding generally exploits the redundancy of the cover medium and prediction-error expansion (PEE) has become the most effective mechanism. However, although the pairwise PEE technique has been proposed to jointly modify the prediction-errors to achieve less degradation, there is still room for improvement. In this paper, a dual pairwise
Zhanchuan Cai, Wenguang He
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An Insight into Pixel Value Ordering Prediction Based Prediction-error Expansion
IEEE Transactions on Information Forensics and Security, 2020As the core of prediction-error expansion technique, prediction method has a fundamental impact on performance of reversible data hiding. Pixel value ordering (PVO) prediction has been extensively investigated for its high accuracy. However, the correlation of pixels within block has not been fully exploited yet.
Zhanchuan Cai, Wenguang He
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An adaptive prediction-error expansion oriented reversible information hiding scheme
Pattern Recognition Letters, 2012Data hiding in digital images can be used in secure communication, copyright protection, and etc. For some important images, such as medical and military images, the original images must be recovered after extracting the embedded data, because distortions are unacceptable for these kinds of images.
Chuan Qin, Chin-Chen Chang
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Toward Optimal Prediction Error Expansion-Based Reversible Image Watermarking
IEEE Transactions on Circuits and Systems for Video Technology, 2020Reversible image watermarking is a technique that allows the cover image to remain unmodified after watermark extraction. Prediction error expansion-based schemes are currently the most efficient and widely used class of reversible image watermarking techniques.
Aniket Roy, Rajat Subhra Chakraborty
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Multiple moduli prediction error expansion reversible data hiding
Signal Processing: Image Communication, 2019Abstract This manuscript considers the distinct prediction error expansion (PEE) of each pixel up to the limit of overflow/underflow in view of embedding a maximum amount of data. A moduli map is created by associating to each pixel its expansion modulus. Since the storing of the expansion moduli map requires more free space than the room provided by
Ion Caciula, Dinu Coltuc
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