Results 61 to 70 of about 16,712,425 (389)
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
scikit-image: image processing in Python [PDF]
PeerJ, 2014 scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this
van der Walt, Stefan +8 more
openaire +6 more sources
Image to Image Translation for Domain Adaptation
, 2017 We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without requiring any training annotations in the target domain. This is achieved by
Kim, Kyungnam +4 more
core +1 more source
Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
IEEE Access, 2019 Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.
Bo Liu +4 more
doaj +1 more source
Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems
Sensors, 2023 As the field of routine pathology transitions into the digital realm, there is a surging demand for the full automation of microscope scanners, aiming to expedite the process of digitizing tissue samples, and consequently, enhancing the efficiency of ...
Dániel Küttel +6 more
doaj +1 more source
Generalized Inpainting Method for Hyperspectral Image Acquisition
, 2015 A recently designed hyperspectral imaging device enables multiplexed acquisition of an entire data volume in a single snapshot thanks to monolithically-integrated spectral filters.
Blanch, Carolina +6 more
core +1 more source
Residual Dense Network for Image Super-Resolution [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well.
Yulun Zhang +4 more
semanticscholar +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
Plant, Cell & Environment, 2017 A silicon‐integrated MXene X‐ray detector exhibits high sensitivity and an ultra‐low detection limit, enabling clear and precise single‐pixel X‐ray imaging ...
Vassiliki Mpakou +20 more
openaire +1 more source
Testing the RPI data for consistency with the theory of the cost-of-living index [PDF]
, 2002 This paper tests the published section level price and weight data used in the compilation of the UK Retail Prices Index for consistency with the theory of the cost-of-living index.
Crawford, I., Image, I.
core