WebApr 14, 2024 · The frontal chest images from ChestX-ray14 have a resolution of 1024 × 1024 pixels, whereas images from CheXpert have varying resolutions of different heights and widths. To standardize the image data from these two sources, we automatically cropped or trimmed the thoracic region and resized it to 512 × 512 pixels, which is the … Web2024年65例小儿肺炎支原体肺炎的临床分析 目的 进一步加深对儿童肺炎支原体肺炎的临床表现影像学特点及治疗的认识.方法 回顾性分析2024年1月至10月江苏大学附属医院儿科65例肺炎支原体感染的住院患儿临床表现影像学特点及治疗.结果 本组,文库网_wenkunet.com
CheXNeXt: Deep learning for chest radiograph …
WebSep 1, 2024 · ChestX-ray14: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases … WebJan 23, 2024 · 近日,该团队提交的一篇新论文提出了名为 CheXNet 的新技术。研究人员在论文中表示:新的技术已经在识别胸透照片中肺炎等疾病上的准确率上超越了人类专业医师。吴恩达表示,或许放射科医生们需要 … diversified marine products kent
检索结果-暨南大学图书馆
WebThe NIH ChestX-ray (ChestX-ray14) dataset contains 112,120 X-ray images of scans from 30,805 unique individuals with fourteen different thorax disease categories. These disease categories are text-mined from related radiological reports using NLP techniques. The publication will enable scientists to access the dataset and enhance their potential to … WebNov 18, 2024 · 胸部x射线分类-一个多标签和细粒度的问题摘要 ChestX-ray14数据集在现有文献中被认为是一个通用的图像分类问题.这个特定的数据集具有以下特性:1)许多肺病理 … WebSep 16, 2024 · When adding the additional report datasets of PadChest and ChestX-Ray14 we manage to beat label-supervised performance across all datasets. 5 Conclusion. In this paper, we proposed an approach to make networks less reliant to label supervision through contrastive language-image pre-training on report level. In order to still maintain ... diversified marine fort myers