Application of deep learning–based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy
Objectives To retrospectively evaluate the diagnostic performance of a convolutional neural
network (CNN) model in detecting pneumothorax on chest radiographs obtained after …
network (CNN) model in detecting pneumothorax on chest radiographs obtained after …
Deep learning for detecting pneumothorax on chest radiographs after needle biopsy: clinical implementation
Background Accurate detection of pneumothorax on chest radiographs, the most common
complication of percutaneous transthoracic needle biopsies (PTNBs), is not always easy in …
complication of percutaneous transthoracic needle biopsies (PTNBs), is not always easy in …
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
Objectives Pneumothorax is the most common and potentially life-threatening complication
arising from percutaneous lung biopsy. We evaluated the performance of a deep learning …
arising from percutaneous lung biopsy. We evaluated the performance of a deep learning …
Deep learning systems for pneumothorax detection on chest radiographs: a multicenter external validation study
YL Thian, D Ng, JTPD Hallinan, P Jagmohan… - Radiology: Artificial …, 2021 - pubs.rsna.org
Purpose To assess the generalizability of a deep learning pneumothorax detection model
on datasets from multiple external institutions and examine patient and acquisition factors …
on datasets from multiple external institutions and examine patient and acquisition factors …
Deep learning-enabled system for rapid pneumothorax screening on chest CT
Purpose Prompt diagnosis and quantitation of pneumothorax impact decisions pertaining to
patient management. The purpose of our study was to develop and evaluate the accuracy of …
patient management. The purpose of our study was to develop and evaluate the accuracy of …
Deep learning-based computer-aided pneumothorax detection using chest X-ray images
Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac
arrest, or in extreme cases, death. Chest X-ray (CXR) imaging is the primary diagnostic …
arrest, or in extreme cases, death. Chest X-ray (CXR) imaging is the primary diagnostic …
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study
Background Pneumothorax can precipitate a life-threatening emergency due to lung
collapse and respiratory or circulatory distress. Pneumothorax is typically detected on chest …
collapse and respiratory or circulatory distress. Pneumothorax is typically detected on chest …
Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography
Background Automatically detecting and quantifying pneumothorax on chest computed
tomography (CT) may impact clinical decision-making. Machine learning methods published …
tomography (CT) may impact clinical decision-making. Machine learning methods published …
Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images
G Kitamura, C Deible - Clinical imaging, 2020 - Elsevier
Purpose To validate a machine learning model trained on an open source dataset and
subsequently optimize it to chest X-rays with large pneumothoraces from our institution …
subsequently optimize it to chest X-rays with large pneumothoraces from our institution …
Deep learning for diagnosis and segmentation of pneumothorax: The results on the Kaggle competition and validation against radiologists
A Tolkachev, I Sirazitdinov… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Pneumothorax is potentially a life-threatening disease that requires urgent diagnosis and
treatment. The chest X-ray is the diagnostic modality of choice when pneumothorax is …
treatment. The chest X-ray is the diagnostic modality of choice when pneumothorax is …
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