Results 61 to 70 of about 41,568 (259)

Anaesthetic Management of a Neonate with Ebstein’s Anomaly Undergoing a Meningomyelocele Surgery: A Case Report [PDF]

Journal of Clinical and Diagnostic Research
Ebstein’s Anomaly (EA) is a congenital heart defect characterised by the downward displacement of the posterior and septal leaflets of the tricuspid valve toward the right ventricular apex.
Prakriti, Monika Yadav, Vaishali Gupta, Komal Yadav, Shikha Garg   +4 more
doaj   +1 more source

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

, 2017
The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern
Bagheri, Mohammadhadi, Lu, Le, Lu, Zhiyong, Peng, Yifan, Summers, Ronald M., Wang, Xiaosong   +5 more
core   +1 more source

Bimodal network architectures for automatic generation of image annotation from text

, 2018
Medical image analysis practitioners have embraced big data methodologies. This has created a need for large annotated datasets. The source of big data is typically large image collections and clinical reports recorded for these images.
Guo, Yufan, Gur, Yaniv, Madani, Ali, Moradi, Mehdi, Syeda-Mahmood, Tanveer   +4 more
core   +1 more source

A deep-learning-based framework for identifying and localizing multiple abnormalities and assessing cardiomegaly in chest X-ray

Nature Communications
Accurate identification and localization of multiple abnormalities are crucial steps in the interpretation of chest X-rays (CXRs); however, the lack of a large CXR dataset with bounding boxes severely constrains accurate localization research based on ...
W. Fan, Yi Yang, Jing Qi, Qichuan Zhang, Cuiwei Liao, Li Wen, Shuang Wang, Guangxian Wang, Yu Xia, Qihua Wu, Xiaotao Fan, Xingcai Chen, Mi He, Jingjing Xiao, Liuqing Yang, Yun Liu, Jia Chen, Bing Wang, Lei Zhang, Liuqing Yang, Hui Gan, Shushu Zhang, Guo-Jun Liu, X. Ge, Yuanqing Cai, Gang Zhao, Xi Zhang, Mingxun Xie, Huilin Xu, Yi Zhang, Jiao Chen, Jun Li, Shuang Han, Ke-Xiao Mu, Shilin Xiao, Tingwei Xiong, Yongjian Nian, Dong Zhang   +37 more
semanticscholar   +1 more source

A Deep Learning System for Detecting Cardiomegaly Disease Based on CXR Image

International Journal of Intelligent Systems
The potential of technology to revolutionize healthcare is exemplified by the synergy between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the power of proactive intervention in cardiovascular health.
Shaymaa E. Sorour, Abeer A. Wafa, A. Abohany, Reda M. Hussien   +3 more
semanticscholar   +1 more source

Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods

Acta Radiologica, 2020
Background Cardiomegaly is a relatively common incidental finding on chest X-rays; if left untreated, it can result in significant complications. Using Artificial Intelligence for diagnosing cardiomegaly could be beneficial, as this pathology may be ...
H. Bougias, E. Georgiadou, Christina Malamateniou, N. Stogiannos   +3 more
semanticscholar   +1 more source

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

, 2019
Large, labeled datasets have driven deep learning methods to achieve expert-level performance on a variety of medical imaging tasks. We present CheXpert, a large dataset that contains 224,316 chest radiographs of 65,240 patients.
Ball, Robyn, Chute, Chris, Ciurea-Ilcus, Silviana, Haghgoo, Behzad, Halabi, Safwan S., Irvin, Jeremy, Jones, Ricky, Ko, Michael, Langlotz, Curtis P., Larson, David B., Lungren, Matthew P., Marklund, Henrik, Mong, David A., Ng, Andrew Y., Patel, Bhavik N., Rajpurkar, Pranav, Sandberg, Jesse K., Seekins, Jayne, Shpanskaya, Katie, Yu, Yifan   +19 more
core   +1 more source

Image to Fit the Clinical Picture: Point-of-care Ultrasound Assessment of Ebstein’s Anomaly in Peru [PDF]

, 2020
Ebstein’s anomaly is a congenital heart defect that when left untreated can lead to unique physical exam and ultrasound findings. This case describes a patient who presented with dyspnea and was found to have cyanosis, clubbing, and dilation of right ...
Dreyfuss, Andrea, Inga, Roberto, Rider, Ashley C.   +2 more
core  

Endocardial fibroelastosis [PDF]

, 1967
This is an article delivered at a meeting of the British Medical Association (Malta Branch) on the 7th March 1967. During the eleven-year period 1955-66 eight cases of endocardial fibroelastosis were diagnosed or confirmed at autopsy.
Captur, Victor, Grech, J.L., Pace, Joseph L.   +2 more
core   +1 more source

Deep Learning in Cardiothoracic Ratio Calculation and Cardiomegaly Detection

Journal of Clinical Medicine
Objectives: The purpose of this study is to evaluate the performance of our deep learning algorithm in calculating cardiothoracic ratio (CTR) and thus in the assessment of cardiomegaly or pericardial effusion occurrences on chest radiography (CXR ...
Jakub Kufel, Iga Paszkiewicz, Szymon Kocot, A. Lis, Piotr Dudek, Łukasz Czogalik, Michał Janik, Katarzyna Bargieł-Łączek, Wiktoria Bartnikowska, Maciej Koźlik, Maciej M. Cebula, Katarzyna Gruszczyńska, Zbigniew Nawrat   +12 more
semanticscholar   +1 more source