Standardized, automated labeling method, based on similarity to a previously validated five-label chest X-ray (CXR) detection explainable AI (xAI) model, using an xAI model-derived-atlas based approach. a Our quantitative model-derived atlas-based explainable AI system calculates a probability-of-...
“ChestX-ray”, which comprises 121,120 frontal-view X-ray images of 30,805 unique patients with the text-mined eight disease image labels (where each image can have multi-labels), from the associated radiological reports using natural language processing. Importantly, we demonstrate that these...
R.M.: Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2097–2106 (2017)[...
Patients were staged by chest X-ray examination, computed tomography scan of chest and upper abdomen, magnetic resonance imaging of the brain, abdominal ult... A Marra,G Richardsen,W Wagner,... - 《Ima Journal of Mathematics Applied in Medicine & Biology》 被引量: 0发表: 1994年 The role...
This situation poses a conundrum that annually-collected chest x-rays cannot be utilized due to the absence of labels, especially in deprived areas. In this study, we present a framework named distillation for self-supervision and self-train learning (DISTL) inspired by the learning process of ...
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases Wang X, Peng Y, Lu L, Lu Z, Bagheri M, Summers RM. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly- Supervised ...
Background Delays in referral of symptomatic patients for chest X-ray (CXR) has been proposed as one explanation for poorer survival from lung cancer in UK compared to other developed nations. Such delays may reflect patients not seeking medical advice for persistent respiratory symptoms, or not ...
Lateral chest X-rays may be helpful in the early detection of osteoporotic patients. We studied the proportion of chest X-ray reports in which the radiolog... JL Hernández Hernández,JM Olmos Martínez,J González Macías,... - 《Medicina Clinica》 被引量: 20发表: 2001年 Comparing the Int...
上海交通大学与上海人工智能实验室联合团队聚焦医学人工智能,提出了首个基于医学领域知识增强的 Chest X-ray 的基础模型。 近年来,基于大数据预训练的多模态基础模型 (Foundation Model) 在自然语言理解和视觉感知方面展现出了前所未有的进展,在各领域中受到了广泛关注。在医疗领域中,由于其任务对领域专业知识的高度依赖...
”Discovery Radiology: Chest X-Ray Interpretation“ has been described as “outstanding” and “an authoritative exposition of the art of chest radiolography.” BMA Reviewer What’s in it for you? For learners, the app will: - Help you learn the basics needed for successful chest x-ray inte...