论文题目:《Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization》 论文出处:CVPR2022 论文地址:论文链接 代码地址:代码链接 摘要 对于医学图像分割,想象一下,如果一个模型只在源域使用MR图像进行训练,它在目标域直接分割CT图像的性能如何?这种设置,即可泛化的跨模态分割...
Cross-modality image retrieval is particularly challenging, since images of similar (or even the same) content captured by different modalities might share few common structures. We propose a new application-independent content-based image retrieval (CBIR) system for reverse (sub-)image search across...
但是,在基于深度学习的图像标注模型中,句子级的嵌入通常都被忽略。 在本文中,作者提出了Intrinsic Cross-Modality Captioning(ICMC),一种利用句子级嵌入和跨模态对齐来改进图像标注的新方法。所提出的方法不仅关注视觉特征和之前的单词,而且还包括从训练阶段的数据集中获得的句子级线索。 Methodology 本文的灵感来自于交叉...
We present a cross-modality generation framework that learns to generate translated modalities from given modalities in MR images. Our proposed method performs Image Modality Translation (abbreviated as IMT) by means of a deep learning model that leverag
Unpaired PET/CT image synthesis of liver region using CycleGAN Cross-modality synthesis represents nowadays a promising application in medical image processing to manage the problem of paired data scarcity. In this wor... G Santini,C Fourcade,N Moreau,... 被引量: 0发表: 2020年 加载更多研究...
A cross-modality image transformation method using the Generative Adversarial Network (GAN) is proposed in this paper. First, the preprocessing methods are performed to the original image data. The computational steps include adjusting image size and suppressing image noises. Second, a kind of GAN ...
The primary cortex that is associated with the deprived modality might also undergo plastic changes, in some cases becoming activated by stimuli in the spared modalities. Such activation might result from the persistence of normally pruned polymodal connections, but has been difficult to show in human...
F. Results on Synthesized Image Edge Maps 为了显示所提出的算法的边缘保持性能,从合成图像和真实图像中提取的三种edge map,即Sobel、Prewitt和Canny二值边缘映射,通过表III、IV、V和VI中的PSNR、NMSE和SSIM进行比较。如图所示,Ea-GANs生成最接近真实值的edge map。
We design a cross-modal GAN which learns image-to-image modality transformation across cross-domain. This network is able to synthesize Infrared images from VISIBLE images for VEDAI dataset visible infrared vedai cross-modal-learning Updated May 2, 2023 Python Load more… Improve this page ...
Cross-modality image retrieval is particularly challenging, since images of similar (or even the same) content captured by different modalities might share few common structures. We propose a new application-independent content-based image retrieval (CBIR) system for reverse (sub-)image search across...