In particular, the convolutional neural network (CNN)32 has been successfully applied to reveal information from images33,34, in which physical phenomena can be quantified in pixelated datasets and the weights in filters can be statistically trained for prediction25. When the CNN is trained using ...
However, there are still gaps in knowledge about understanding how images are used in propaganda, such as analyzing larger social datasets to gain a more comprehensive understanding of elements and types of image-based propaganda. Additionally, there is a lack of research on investigating the ...
b, Efficacy analysis of the DeepDR-Transformer module on multiethnic datasets of standard and portable fundus images. c, Utility evaluation of the DeepDR-Transformer module as an assistive tool for PCPs and professional graders in the detection of referable DR. d, Study design of a two-arm, ...
In addition, 12 multiethnic datasets were enrolled for external validation: the Nicheng Diabetes Screening Project (NDSP) cohort, the Diabetic Retinopathy Progression Study (DRPS) cohort, the Wuhan Tongji Health Management (WTHM) cohort, the Peking Union Diabetes Management (PUDM) cohort, the CN...
AI image moderation utilizes artificial intelligence algorithms to analyze and categorize images based on predefined criteria automatically. These algorithms are trained on large datasets of labeled images and use techniques likemachine learningand computer vision to recognize patterns and features indicative ...
We compared multiple image compression techniques by two different datasets (Berkeley segmentation dataset and standard dataset) in terms of compressed quality parameters (MSE, PSNR, and SSIM), compression ratio, latency, power, and area as shown in Table3. Here, D stands for direct mapping [108...
AnalysisoftheISICimagedatasets: Usage, benchmarksandRecommendations 对ISIC图像数据集的分析:使用情况、基准测试,对ISIC图像数据集的分析:使用情况、基准测试和建议国际皮肤成像协作(ISIC)数据集已经成为医学图像分析的机器学习研究人员的领先存储库,特别是在皮
Algorithms for augmentation of image datasets Deep learning algorithms have shown high potential for image processing and analysis, revolutionizing the use of smartphones in mHealth diagnostics. However, the high variability in cellphone image data acquisition and the common need for large amounts of ...
Although this extension makes LTP robust to noise and encode more patterns, it is not easy to practically select an optimum τ for all images in a dataset or for all datasets, and the resultant code is not invariant to pixel value transformations. LTP can encode 38 patterns. The LTP codes...
Robust genome-wide ancestry inference for heterogeneous datasets: illustrated using the 1,000 genome project with 3D facial images Article Open access 16 July 2020 Assessing the Big Five personality traits using real-life static facial images Article Open access 22 May 2020 Data...