On this basis, we further propose a novel optical degradation correction model called DR-UNet. It is constructed on an encoder-decoder structure to capture multiscale information, along with several context blocks. By correcting the optical degradation in images from coarse to fine, we finally ...
本发明用于医疗图像的分割。 专利权项:1.一种基于DR-Unet104的医疗图像分割方法,其特征在于:包括下列步骤:S100、数据采集:通过采集相关医疗图像,构建原始数据集;所述S100中的数据采集中将对图像病灶部位进行手动标注;S200、数据扩充:对原始数据集进行数据增强,实现数据集扩充;所述S200数据扩充对原始数据集中的所有图像...
Implementation of deep learning framework -- Unet, using Keras The architecture was inspired by U-Net: Convolutional Networks for Biomedical Image Segmentation. Overview Data Provided data you can download the train and test data from this server. you can also find data in the data folder. Pre-...
Explore and run machine learning code with Kaggle Notebooks | Using data from Breast cancer (VinDr) (FITVLUTE-KLTN)
B“I am not crazy,” says Dr. William Farber, shortly after performing acupuneture(针灸) on a rabbit. “I am ahead of my time. " If he seems a little defensive, it might be because even some of his coworkers occasionally laugh at his unusual methods. But Farber is certain he'll ...
Pytorch 搭建自己的Unet语义分割平台(Bubbliiiing 深度学习 教程)370 -- 5:36:11 App 这绝对是我见过最简单的【图像分割与语义分割】实战教程!计算机博士把深度学习图像处理讲得如此简单易懂了!548 19 13:34:10 App 【CV-深度学习实战】从零开始:pytorch图像分割与U-Net理论+代码(人工智能/AI/计算机视觉)216...
本文以患者心脏部位电子计算机断层扫描(Computed Tomography,CT)的图像结合患者的临床数据为研究对象,提出了一种基于Swin-Unet网络的多模态数据检测框架,框架结合了Swin-Unet网络模型与机器学习模型,展开多模态特征融合分析,实现主动脉再缩窄的早期检测.临床数据集实验结果显示,与传统的仅使用临床数据的预测方法相比,本文...
In this research work, we propose a deep neural network architecture called as Attention Information-based URL Network (AI-UNet) for classifying the adult web sites without fetching the contents of the web page and can aid in quick decision making. The proposed AI-UNet is a two-stage ...
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王佳麟目前担任台州市羽凡环保科技有限公司、台州市易简环保有限公司法定代表人,同时担任台州市羽凡环保科技有限公司执行董事,经理,台州市易简环保有限公司董事,经理;二、王佳麟投资情况:王佳麟目前是台州市羽凡环保科技有限公司直接控股股东,持股比例为100%,是台州市易简环保有限公司直接控股股东,持股比例为100%;目前王佳...