COVID-XNet: A custom deep learning system to diagnose and locate COVID-19 in chest X-ray images
L Duran-Lopez, JP Dominguez-Morales… - Applied Sciences, 2020 - mdpi.com
Featured Application This work could be used to aid radiologists in the screening process,
contributing to the fight against COVID-19. Abstract The COVID-19 pandemic caused by the …
contributing to the fight against COVID-19. Abstract The COVID-19 pandemic caused by the …
Image-to-images translation for multi-task organ segmentation and bone suppression in chest x-ray radiography
Chest X-ray radiography is one of the earliest medical imaging technologies and remains
one of the most widely-used for diagnosis, screening, and treatment follow up of diseases …
one of the most widely-used for diagnosis, screening, and treatment follow up of diseases …
Spatial feature and resolution maximization GAN for bone suppression in chest radiographs
Abstract Background and Objective: Chest radiographs (CXR) are in great demand for
visualizing the pathology of the lungs. However, the appearance of bones in the lung region …
visualizing the pathology of the lungs. However, the appearance of bones in the lung region …
[HTML][HTML] A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs
The high transmission rate of COVID-19 and the lack of quick, robust, and intelligent systems
for its detection have become a point of concern for the public, Government, and health …
for its detection have become a point of concern for the public, Government, and health …
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 …
Development of debiasing technique for lung nodule chest X-ray datasets to generalize deep learning models
Screening programs for early lung cancer diagnosis are uncommon, primarily due to the
challenge of reaching at-risk patients located in rural areas far from medical facilities. To …
challenge of reaching at-risk patients located in rural areas far from medical facilities. To …
[HTML][HTML] Bone suppression on chest radiographs for pulmonary nodule detection: comparison between a generative adversarial network and dual-energy subtraction
Objective To compare the effects of bone suppression imaging using deep learning (BSp-
DL) based on a generative adversarial network (GAN) and bone subtraction imaging using a …
DL) based on a generative adversarial network (GAN) and bone subtraction imaging using a …
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
Lung cancer is the leading cause of cancer death worldwide and a good prognosis depends
on early diagnosis. Unfortunately, screening programs for the early diagnosis of lung cancer …
on early diagnosis. Unfortunately, screening programs for the early diagnosis of lung cancer …
Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images
Bone suppression is to suppress the superimposed bone components over the soft tissues
within the lung area of Chest X-ray (CXR), which is potentially useful for the subsequent lung …
within the lung area of Chest X-ray (CXR), which is potentially useful for the subsequent lung …
Bone suppression of chest radiographs with cascaded convolutional networks in wavelet domain
Bone suppression of chest radiographs (CXRs) is potentially useful for diagnosing lung
diseases for radiologists and computer–aided diagnosis. This paper presents a cascaded …
diseases for radiologists and computer–aided diagnosis. This paper presents a cascaded …