[PDF][PDF] A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Nowadays, automatic disease detection has become a crucial issue in medical science due
to rapid population growth. An automatic disease detection framework assists doctors in the …
to rapid population growth. An automatic disease detection framework assists doctors in the …
[HTML][HTML] Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
COVID-19 is a contagious disease that affects the human respiratory system. Infected
individuals may develop serious illnesses, and complications may result in death. Using …
individuals may develop serious illnesses, and complications may result in death. Using …
A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images
H Naeem, AA Bin-Salem - Applied Soft Computing, 2021 - Elsevier
Auto-detection of diseases has become a prime issue in medical sciences as population
density is fast growing. An intelligent framework for disease detection helps physicians …
density is fast growing. An intelligent framework for disease detection helps physicians …
High-resolution chest x-ray bone suppression using unpaired CT structural priors
There is clinical evidence that suppressing the bone structures in Chest X-rays (CXRs)
improves diagnostic value, either for radiologists or computer-aided diagnosis. However …
improves diagnostic value, either for radiologists or computer-aided diagnosis. However …
Chest x-ray bone suppression for improving classification of tuberculosis-consistent findings
Chest X-rays (CXRs) are the most commonly performed diagnostic examination to detect
cardiopulmonary abnormalities. However, the presence of bony structures such as ribs and …
cardiopulmonary abnormalities. However, the presence of bony structures such as ribs and …
GAN-based disentanglement learning for chest X-ray rib suppression
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can improve the
reliability of pulmonary disease diagnosis. However, previous approaches on generating rib …
reliability of pulmonary disease diagnosis. However, previous approaches on generating rib …
Deep Learning Research Directions in Medical Imaging
C Simionescu, A Iftene - Mathematics, 2022 - mdpi.com
In recent years, deep learning has been successfully applied to medical image analysis and
provided assistance to medical professionals. Machine learning is being used to offer …
provided assistance to medical professionals. Machine learning is being used to offer …
[HTML][HTML] Artificial intelligence for chest X-ray image enhancement
The chest X-rays (CXR) have been the most frequently performed radiographic examination
for decades, and their demand continues to grow due to their critical role in diagnosing …
for decades, and their demand continues to grow due to their critical role in diagnosing …
Bone suppression for chest X-ray image using a convolutional neural filter
N Matsubara, A Teramoto, K Saito, H Fujita - Physical and Engineering …, 2020 - Springer
Chest X-rays are used for mass screening for the early detection of lung cancer. However,
lung nodules are often overlooked because of bones overlapping the lung fields. Bone …
lung nodules are often overlooked because of bones overlapping the lung fields. Bone …
Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNets
Abstract Background and Objective In chest radiographs (CXRs), all bones and soft tissues
are overlapping with each other, which raises issues for radiologists to read and interpret …
are overlapping with each other, which raises issues for radiologists to read and interpret …