Results 41 to 50 of about 71,860 (187)
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding [PDF]
arXiv, 2022 Airway segmentation is critical for virtual bronchoscopy and computer-aided pulmonary disease analysis. In recent years, convolutional neural networks (CNNs) have been widely used to delineate the bronchial tree. However, the segmentation results of the CNN-based methods usually include many discontinuous branches, which need manual repair in clinical ...
arxiv
Frontiers in Pharmacology, 2022 Background: In intensive care units (ICUs), the morbidity and mortality of ventilator-associated pneumonia (VAP) are relatively high, and this condition also increases medical expenses for mechanically ventilated patients, which will seriously affect the
Luming Zhang +11 more
doaj +1 more source
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images [PDF]
arXiv, 2022 Accurate airway extraction from computed tomography (CT) images is a critical step for planning navigation bronchoscopy and quantitative assessment of airway-related chronic obstructive pulmonary disease (COPD). The existing methods are challenging to sufficiently segment the airway, especially the high-generation airway, with the constraint of the ...
arxiv
Al-Azhar Assiut Medical Journal, 2020 Background Flexible bronchoscopy has become the most commonly used invasive procedure in pulmonary medicine used for diagnosis of multiple lesions of respiratory system presenting as endobronchial mass lesions, either benign or malignant in nature.
Khaled M Halima +2 more
doaj +1 more source
Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN) [PDF]
arXiv, 2021 Cancer is the uncontrollable cell division of abnormal cells inside the human body, which can spread to other body organs. It is one of the non-communicable diseases (NCDs) and NCDs accounts for 71% of total deaths worldwide whereas lung cancer is the second most diagnosed cancer after female breast cancer.
arxiv
DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy [PDF]
2024 IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS)Real-time 6 DOF localization of bronchoscopes is crucial for enhancing intervention quality. However, current vision-based technologies struggle to balance between generalization to unseen data and computational speed. In this study, we propose a Depth-based Dual-Loop framework for real-time Visually Navigated Bronchoscopy (DD-VNB) that can generalize ...
arxiv +1 more source
Evaluation of the patient undergoing respiratory endoscopic procedures
Revista Portuguesa de Pneumologia, 2012 Endoscopic techniques can be considered reasonably safe since they are widely used and the rate of complications is extremely low. Still complications do occur and in order to avoid them, the evaluation of the patient before and after any intervention is
A. Magalhães
doaj
PLoS ONE, 2018 BackgroundRe-biopsy by bronchoscopy is an important part of treatment for patients with relapsed lung cancer; however, some patients refuse to undergo a re-examination due to discomfort during their first bronchoscopy. The aim of the present study was to
Kazushi Fujimoto +9 more
doaj +1 more source
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning [PDF]
arXiv, 2018 Bronchoscopy inspection as a follow-up procedure from the radiological imaging plays a key role in lung disease diagnosis and determining treatment plans for the patients. Doctors needs to make a decision whether to biopsy the patients timely when performing bronchoscopy.
arxiv
Frontiers in Immunology, 2019 Background: Molds and other pathogens induce elevated levels of several cytokines, including interleukin (IL)-6 and IL-8. The objective of this study was to investigate the prognostic value of IL-6 and IL-8 as well as fungal biomarkers in blood and ...
Stephen A. Rawlings +16 more
doaj +1 more source