Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review Deep learning has become a prominent computational modeling tool in the areas of computer vision and image processing in recent years. This research compre... Y Bi - 《Ar...
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1.(in painting) the effect of the juxtaposition of different colours, tones, etc. 2. a.(of a photographic emulsion) the degree of density measured against exposure used b.the extent to which adjacent areas of an optical image, esp on a television screen or in a photographic negative or ...
The contrast enhancement of an image can be considered as a style transfer or an image-to-image translation which is an important field in deep learning. Based on common methods like the pix2pix network that only translate from one domain into one other, we propose a method (cc-pix2pix)...
Unlike vanilla contrast which indiscriminately pushes negative samples from the anchor regardless of their similarity, we propose to re-weight the pushing force of negative samples adaptively according to their similarity to the anchor, which facilitates the contrastive learning from informative negative ...
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images(TIP18) 这是一篇单一图像对比度增强的论文,传统的单一图像对比度增强方法包括基于HE和Retinex理论,但由于自然场景的复杂性和单张图像包含的信息有限,往往很难产生高质... 92450
In this study, we introduced CellContrast, a deep-learning method that employs a contrastive learning framework for spatial relationship reconstruction of SC data. Our fundamental assumption is that gene expression profiles can be projected into a latent space, where physically proximate cells demonstrate...
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomography (CT) imaging-based artificial intelligence models for COVID-19 research. However, contrast heterogeneity from real-world datasets may impair model per
In conclusion, DLSD significantly enhances both the image quality and reliability of DCE-MRI in patients with diffuse glioma, while maintaining or improving diagnostic performance.Similar content being viewed by others Deep learning reconstruction of diffusion-weighted brain MRI for evaluation of patients...
c, Model clinical translation. The real-world clinical evaluation answers five critical questions to close the clinical translational gap for PANDA. Full size image Results The PANDA network We present a deep learning model, PANDA, to detect and diagnose PDAC and seven subtypes of non-PDAC ...