“…Penetrating chest trauma is associated with significant morbidity and mortality due to direct injury to vital organs located within the thorax. …”
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“…To speed up the discovery of COVID-19 disease mechanisms by X-ray images, this research developed a new diagnosis platform using a deep convolutional neural network (DCNN) that is able to assist radiologists with diagnosis by distinguishing COVID-19 pneumonia from non-COVID-19 pneumonia in patients based on chest X-ray classification and analysis. Such a tool can save time in interpreting chest X-rays and increase the accuracy and thereby enhance our medical capacity for the detection and diagnosis of COVID-19. …”
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“…INTRODUCTION: Chest wall masses are rare in children, but the differential diagnosis is broad and can include traumatic injury, neoplasm, and inflammatory or infectious causes. …”
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“…Less than 1% of febrile infants with no respiratory symptoms will have pneumonia however, chest radiography (CXR) rates remain between 30 and 60%. …”
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“…We aim to report a case of chest wall rigidity induced by high-dose fentanyl infusion sedation and analgesia in the intensive care unit (ICU) for management of pneumonia and asthma. …”
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“…The tumor of the left chest wall was resected under general anesthesia, and reconstruction of the chest wall was performed. …”
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“…In this study, customized and pre-trained deep learning models based on convolutional neural networks were used to detect pneumonia caused by COVID-19 respiratory complications. Chest X-ray images from 368 confirmed COVID-19 patients were collected locally. …”
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“…OBJECTIVE: Chest pain and swelling are routinely reported in women after breast cancer treatment and are often not valued by health professionals. …”
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“…The predominant descriptive chest imaging findings were ground-glass opacities and consolidation. …”
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“…This study proposes a series of deep learning-based algorithms which together iteratively identify and localize the position of an ETT relative to the carina on chest radiographs. Using the open-source MIMIC Chest X-Ray (MIMIC-CXR) dataset, a total of 16,000 patients were identified (8000 patients with an ETT and 8000 patients without an ETT). …”
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“…To this end, the proposed framework includes three steps: (1) feature extraction which first conducts the hierarchical segmentation on the chest Computed Tomography (CT) image data and then extracts multi-modality handcrafted features for each segment, aiming at capturing the slight appearance difference from different perspectives; (2) data augmentation which employs the over-sampling technique to augment the number of samples corresponding to the minority classes, aiming at investigating the class imbalance problem; and (3) joint construction of classification and regression by proposing a novel Multi-task Multi-modality Support Vector Machine (MM-SVM) method to solve the issue of the HDLSS data and achieve the interpretability. …”
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“…This retrospective study included 120 COVID-19 patients. Baseline chest X-rays and serial chest X-rays were reviewed. …”
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“…This study aimed to evaluate the difference between aesthetic outcome of conventional liposuction and cross-chest liposuction in treatment of gynecomastia. METHOD: A prospective comparative study between 2 groups with 15 patients in each was conducted, one with conventional and the other cross-chest liposuction. …”
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“…The aim of this study was to assess the feasibility of an artificial intelligence (AI)-based software tool that automatically evaluates chest computed tomography for findings of suspected COVID-19. …”
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“…However, the semi-infinite medium assumption used in DOT reconstruction is not valid when the chest wall is underneath the breast tissue. Aim: We aim to reduce the chest wall’s effect on the estimated average optical properties of breast tissue and obtain accurate forward model for DOT reconstruction. …”
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“…Patients with abnormal chest X-rays had a significantly lower PaO(2)/FiO(2) ratio both in the COVID-19 and non-COVID-19 groups. …”
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“…As the COVID-19 pandemic continues to ravage the world, the use of chest X-ray (CXR) images as a complementary screening strategy to reverse transcription-polymerase chain reaction (RT-PCR) testing continues to grow owing to its routine clinical application to respiratory diseases. …”
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“…By analyzing the COVID-19 chest X-ray images, a combination method of image regrouping and ResNet-SVM was proposed in this study. …”
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