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1. Gamifying Chest X-Ray Interpretation for Advanced Practice Nurses NSTL国家科技图书文献中心

Haamankuli, Hiboombe |  Nguyen, Somali... -  《The journal for nurse practitioners》 - 2025,21(4) - 105363~105363 - 共5页

摘要: nurses perceive training in chest X-ray (CXR | Background: Advanced practice registered | ) interpretation as inadequate to practice with competency | . Methods: Gamification was used to teach CXR |  interpretation to adult gerontology acute care nurse
关键词: advanced practice registered nurses |  chest X-ray |  game-based learning |  gamification |  radiology

2. Chest X-ray Image Rib Segmentation via Disentanglement Enhancement Network NSTL国家科技图书文献中心

Lili Huang |  Shiqi Li... -  《Advances in Brain Inspired Cognitive Systems,Part I》 -  International Conference on Advances in Brain Inspired Cognitive Systems - 2025, - 208~217 - 共10页

摘要:Rib segmentation is one of the most |  challenging tasks in the field of medical image segmentation | , and also an important tool to assist doctors in |  diagnosis. However, the challenge of this task is that |  ribs overlap each other and have low contrast and
关键词: Chest x-ray image |  Deep learning |  Disentanglement method |  Rib segmentation

3. Classification of Chest X-Ray picture for Hyperbaric oxygen therapy based on convolutional neural network NSTL国家科技图书文献中心

Ting Wei Chiang |  Yan Bo Chen... -  《Optics and Photonics International Congress 2024》 -  Optics and Photonics International Congress - 2025, - 1348708.1~1348708.8 - 共8页

摘要: convolutional neural networks to classify Chest X-Ray images | . The training dataset consisted of 65 Chest X-Ray | In this study, we trained various pretrained |  images obtained from clinical treatment and classified |  by expert radiologists. The objective was to
关键词: Convolution neural network |  Chest x-ray |  Grad-CAM

4. A federated learning approach for classifying chest diseases from chest X-ray images NSTL国家科技图书文献中心

Kumar Satapathy S. |  Cho S.-B.... -  《Biomedical signal processing and control》 - 2025,100(Feb. Pt.A) - 1.1~1.12 - 共12页

摘要: of classifying chest diseases from chest X-ray |  diseases from chest X-ray images employing the NIH Chest |  techniques using a large-scale chest X-ray dataset. Our | . Chest X-rays serve as a commonly used and widely |  images. However, collecting a huge amount of chest X
关键词: Chest Disease |  Classification |  Federated Learning |  Image Classification |  X-Ray

5. Efficient labeling for fine-tuning chest X-ray bone-suppression networks for pediatric patients NSTL国家科技图书文献中心

Xie, Weijie |  Gan, Mengkun... -  《Medical Physics》 - 2025,52(2) - 978~992 - 共15页

摘要: chest X-ray [CXR (chest radiography)]. In pediatric | BackgroundPneumonia, a major infectious cause |  of morbidity and mortality among children worldwide | , is typically diagnosed using low-dose pediatric |  CXR images, bone occlusion leads to a risk of missed
关键词: bone suppression |  deep learning |  image processing |  pediatric chest X-ray (CXR) |  unsupervised learning |  pediatric chest Xray (CXR)

6. GLANCE: Combating Label Noise Using Global and Local Noise Correction for Multi-label Chest X-Ray Classification NSTL国家科技图书文献中心

Xianze Ai |  Zehui Liao... -  《Uncertainty for Safe Utilization of Machine Learning in Medical Imaging》 -  International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging |  International Conference on Medical Image Computing and Computer Assisted Intervention - 2025, - 194~204 - 共11页

摘要:Chest X-ray imaging is essential for |  correlations prevalent in chest X-ray diagnostics. To this | -label chest X-ray classification accuracy. |  diagnosing thoracic diseases, with multi-label |  classification playing a critical role in identifying multiple
关键词: Chest x-ray classification |  Label noise |  Label co-occurrence

7. Cross-modal retrieval of chest X-ray images and diagnostic reports based on report entity graph and dual attention NSTL国家科技图书文献中心

Weihua Ou |  Yingjie Chen... -  《Multimedia systems》 - 2025,31(1) - 58.1~58.16 - 共16页

摘要:Cross-modal retrieval for chest X-ray images |  methods for cross-modal retrieval of chest X-ray images |  framework for cross-modal retrieval of chest X-ray images |  pay when reading chest X-ray images and reports, we |  X-ray images and text reports. However, these
关键词: Medical chest X-ray image |  Cross-modal retrieval |  Graph convolutional neural network |  Attention mechanism |  Entity extraction

8. MiniMedMind: Small-Scale LLM for High-Performance Medical VQA on Chest X-ray NSTL国家科技图书文献中心

Duong Quoc Khanh |  Hoang Trung Kien... -  《Integrated Uncertainty in Knowledge Modelling and Decision Making,Part I》 -  International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making - 2025, - 263~273 - 共11页

摘要: question-answering tasks on chest X-Ray (CXR) images | Visual Question Answering (VQA) in medical |  imaging has the potential to transform clinical practice |  by enabling automated, image-based responses to |  medical queries, particularly in radiology. However
关键词: Medical VQA |  A1-driven diagnostic support |  Chest x-ray |  Lightweight model |  LoRA

9. Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images NSTL国家科技图书文献中心

Gabriel Bellon de Ca... |  Jurandy Almeida -  《Progress in Pattern Recognition,Image Analysis,Computer Vision,and Applications,Part II》 -  Iberoamerican Congress on Pattern Recognition - 2025, - 205~218 - 共14页

摘要: technology to evaluate and study chest X-ray images. The | Segment Anything Model (SAM), a new AI model |  from Meta AI released in April 2023, is an ambitious |  tool designed to identify and separate individual |  objects within a given image through semantic
关键词: Deep learning |  Segment-Anything model (SAM) |  Medical image analysis |  Lung segmentation |  Chest x-Ray images

10. FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation NSTL国家科技图书文献中心

Trong Thang Pham |  Ngoc-Vuong Ho... -  《Computer Vision - ACCV 2024,Part VI》 -  Asian Conference on Computer Vision - 2025, - 71~88 - 共18页

摘要: generating reports in chest X-ray (CXR) analysis is | Developing an interpretable system for |  becoming increasingly crucial in Computer-aided Diagnosis |  (CAD) systems, enabling radiologists to comprehend |  the decisions made by these systems. Despite the
关键词: Chest x-ray |  CXR dataset |  Intepretability |  Deep learning |  Report generation |  Medical imaging
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