A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study
Authors
Keywords
Deep learning, Pulmonary arteries, Radiology and imaging, Pulmonary hypertension, Computed axial tomography, Radiologists, Systolic pressure, Pulmonary imaging
Journal
PLoS One
Volume 15, Issue 7, Pages e0236378
Publisher
Public Library of Science (PLoS)
Online
2020-07-25
DOI
10.1371/journal.pone.0236378
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
- (2019) Po-Hsuan Cameron Chen et al. NATURE MEDICINE
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
- (2018) Daniel S. Kermany et al. CELL
- A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study
- (2018) Roger Sun et al. LANCET ONCOLOGY
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Deep learning in chest radiography: Detection of findings and presence of change
- (2018) Ramandeep Singh et al. PLoS One
- Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
- (2018) Pranav Rajpurkar et al. PLOS MEDICINE
- Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study
- (2018) Andrew G. Taylor et al. PLOS MEDICINE
- Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
- (2018) John R. Zech et al. PLOS MEDICINE
- Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs
- (2017) Mark Cicero et al. INVESTIGATIVE RADIOLOGY
- Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
- (2017) Paras Lakhani et al. RADIOLOGY
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Chest X-ray and CT findings of early H7N9 avian influenza cases
- (2015) Zhi Qian Lin et al. ACTA RADIOLOGICA
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
- (2015) Wenlu Zhang et al. NEUROIMAGE
- Towards better clinical prediction models: seven steps for development and an ABCD for validation
- (2014) E. W. Steyerberg et al. EUROPEAN HEART JOURNAL
- Definitions and Diagnosis of Pulmonary Hypertension
- (2013) Marius M. Hoeper et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Imaging in pulmonary hypertension, part 1: clinical perspectives, classification, imaging techniques and imaging algorithm
- (2012) Caroline McCann et al. POSTGRADUATE MEDICAL JOURNAL
- The Imaging of Pulmonary Hypertension
- (2012) Aletta Ann Frazier et al. SEMINARS IN ULTRASOUND CT AND MRI
- Guidelines for the Echocardiographic Assessment of the Right Heart in Adults: A Report from the American Society of Echocardiography
- (2010) Lawrence G. Rudski et al. JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
- Age-Associated Increases in Pulmonary Artery Systolic Pressure in the General Population
- (2009) Carolyn S.P. Lam et al. CIRCULATION
- Diagnosis and Assessment of Pulmonary Arterial Hypertension
- (2009) David B. Badesch et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search