Results 41 to 50 of about 610,456 (223)
StegNet: Mega Image Steganography Capacity with Deep Convolutional Network [PDF]
, 2018 Traditional image steganography often leans interests towards safely embedding hidden information into cover images with payload capacity almost neglected. This paper combines recent deep convolutional neural network methods with image-into-image steganography.
arxiv +1 more source
FEBS Letters, EarlyView.We achieved cytoplasmic delivery of non‐cell‐penetrating IgGs by grafting a single functional complementarity‐determining region 1 (CDR1) from the light chain variable region (VL) of the cell‐internalizable 3D8 antibody. The engineered IgG acquired cell‐penetrating ability while maintaining antigen affinity, highlighting CDR1 grafting as a promising ...
Yerin Jeon +5 more
wiley +1 more source
Three Dimensional Shape Reconstruction via Polarization Imaging and Deep Learning
Sensors, 2023 Deep-learning-based polarization 3D imaging techniques, which train networks in a data-driven manner, are capable of estimating a target’s surface normal distribution under passive lighting conditions.
Xianyu Wu +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever +1 more
wiley +1 more source
Three-dimensional ISAR imaging: a review
The Journal of Engineering, 2019 Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging has been proven feasible by combining traditional ISAR imaging and interferometry.
Marco Martorella +3 more
doaj +1 more source
Journal of Pharmacy and Bioallied Sciences, 2023 The foundation of reconstructive and cosmetic surgery is a confluence of advanced technologies, plethora of procedures, inventive modifications, and planned strategies.
Shehzeen Afaq +3 more
doaj +1 more source
Applicability test for reducing noise on PET dynamic images using phantom applying deep image prior [PDF]
arXiv, 2023 Objective Positron emission tomography (PET) allows imaging of patho-physiological information as a form of rate constants from a dynamic image. The rate constant image(s) may be affected from noise on the dynamic image. We introduced an artificial intelligence technique of deep image prior (DIP) to reduce noise on dynamic images.
arxiv
Molecular Oncology, EarlyView.We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić +31 more
wiley +1 more source
eJournal of Oral Maxillofacial Research, 2017 Objectives: In this study is investigated if bundling of two scanners leads to better accuracy in recording faces than a standard face-scanning device. Material and Methods: In a group of 28 volunteers, two test specimens were attached to their faces:
Ali Modabber +9 more
doaj +1 more source
Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE [PDF]
arXiv, 2020 Training segmentation networks requires large annotated datasets, but manual annotation is time consuming and costly. We here investigate if the combination of a noise-to-image GAN and an image-to-image GAN can be used to synthesize realistic brain tumor images as well as the corresponding tumor annotations (labels), to substantially increase the ...
arxiv