Results 51 to 60 of about 10,352,216 (337)
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang+9 more
doaj +1 more source
Image Super-Resolution Using Deep Convolutional Networks [PDF]
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images.
Chao Dong+3 more
semanticscholar +1 more source
Images of Victory Images of Masculinity? Images of Victory Images of Masculinity? [PDF]
Abstract The focus of this article will be on the televised constructions, both in leading American mass media and in the two leading Norwegian television networks, of Bush’s announcement of victory in Iraq on May 1 2003, on board the battleship Abraham Lincoln.
openaire +3 more sources
Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play an indispensable role in the diagnosis and treatment of breast cancers. To improve the accuracy
Xiaomin Zhou+13 more
doaj +1 more source
scikit-image: image processing in Python [PDF]
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 +5 more sources
Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
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
Abstract The proliferation of images towards an iconic communication in the hypermediacy of social media, of locative media, of Internet of Things (IoT) on one side and the visualization of real-time data, the deep learning algorithm on the other, question the essence of how reality is perceived, created and the nature and role of images
openaire +2 more sources
We provide a brief overview of the newly born field of quantum imaging, and discuss some concepts that lie at the root of this field.
BRAMBILLA, ENRICO+2 more
openaire +5 more sources
Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems
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
Residual Dense Network for Image Super-Resolution [PDF]
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