Results 21 to 30 of about 12,561,993 (296)
Realization Method of Digital Filter in Pathological Assistant Diagnosis System
The pathology-assisted diagnosis system adopts the method of placing a filter on the slice to filter the light source and obtain the monochromatic parallel light, which is used to calculate the optical density parameter of the image to reflect the ...
WANG Zi-xuan, XIE Yi-ning, HE Yong-jun
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Deep learning models in image synthesis have proven their applicability in various image translation areas. However, although the synthesized image may reflect the user’s intention, some of its properties may be different from those of real images.
Seonguk Park +3 more
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Panoptic-aware Image-to-Image Translation
Despite remarkable progress in image translation, the complex scene with multiple discrepant objects remains a challenging problem. The translated images have low fidelity and tiny objects in fewer details causing unsatisfactory performance in object recognition. Without thorough object perception (i.e., bounding boxes, categories, and masks) of images
Liyun Zhang +6 more
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Optical coherence tomography (OCT) images of the posterior eye provide valuable clinical information. To quantify these images and extract appropriate biomarkers, methods to segment the different retinal boundaries are needed.
David Alonso-Caneiro +7 more
core +1 more source
Aerial Visible-to-Infrared Image Translation: Dataset, Evaluation, and Baseline
Aerial visible-to-infrared image translation aims to transfer aerial visible images to their corresponding infrared images, which can effectively generate the infrared images of specific targets.
Zonghao Han +4 more
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High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks
Foreign object intrusion is a great threat to high-speed railway safety operations. Accurate foreign object intrusion detection is particularly important.
Baoqing Guo +4 more
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Applications of Generative Adversarial Networks in Medical Image Translation
In recent years, the generative adversarial network (GAN) has attracted widespread attention with its unique adversarial training mechanism. Its applications have gradually extended to the field of medical imaging, and much excellent research has emerged.
Xiao CHANG +3 more
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The diagnosis and treatment of medical retinal disease is now inseparable from retinal imaging in all its multimodal incarnations. The purpose of this article is to present a selection of very different retinal imaging techniques that are truly translational, in the sense that they are not only new, but can guide us to new understandings of disease ...
Orellanos-Rios, Jorge +5 more
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Image to Image Translation for Domain Adaptation [PDF]
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 adding extra networks and losses that help regularize the features extracted by the backbone ...
Zak Murez +4 more
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Deep learning shows its advantages and potentials in plant disease recognition and has witnessed a profound development in recent years. To obtain a competing performance with a deep learning algorithm, enough amount of annotated data is requested but in
Mingle Xu +7 more
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