A review on deep learning in medical image analysis
S Suganyadevi, V Seethalakshmi… - International Journal of …, 2022 - Springer
Ongoing improvements in AI, particularly concerning deep learning techniques, are
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …
[HTML][HTML] A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities
Artificial Intelligence (AI) solutions have been widely used in healthcare, and recent
developments in deep neural networks have contributed to significant advances in medical …
developments in deep neural networks have contributed to significant advances in medical …
Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning
A large number of children die due to pneumonia every year worldwide. An estimated 1.2
million episodes of pneumonia were reported in children up to 5 years of age, of which …
million episodes of pneumonia were reported in children up to 5 years of age, of which …
[HTML][HTML] Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review
The relatively recent reintroduction of deep learning has been a revolutionary force in the
interpretation of diagnostic imaging studies. However, the technology used to acquire those …
interpretation of diagnostic imaging studies. However, the technology used to acquire those …
Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures
Pneumonia is a disease that leads to the death of individuals within a short period since the
flow of fluid in the lungs. Hence, initial diagnosis and drugs are very important to avoid the …
flow of fluid in the lungs. Hence, initial diagnosis and drugs are very important to avoid the …
An IoT-based deep learning framework for early assessment of COVID-19
Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
Automated categorization of multiclass welding defects using the x-ray image augmentation and convolutional neural network
The detection of weld defects by using X-rays is an important task in the industry. It requires
trained specialists with the expertise to conduct a timely inspection, which is costly and …
trained specialists with the expertise to conduct a timely inspection, which is costly and …
Intelligent pneumonia identification from chest x-rays: A systematic literature review
Chest radiography is a significant diagnostic tool used to detect diseases afflicting the chest.
The automatic detection techniques associated with computer vision are being adopted in …
The automatic detection techniques associated with computer vision are being adopted in …
[HTML][HTML] A review on detection of pneumonia in chest X-ray images using neural networks
The health organisation has suffered from the lack of diagnosis support systems and
physicians in India. Further, the physicians are struggling to treat many patients, and the …
physicians in India. Further, the physicians are struggling to treat many patients, and the …
[Retracted] Deep Learning‐Based Networks for Detecting Anomalies in Chest X‐Rays
M Badr, S Al-Otaibi, N Alturki… - BioMed Research …, 2022 - Wiley Online Library
X‐ray images aid medical professionals in the diagnosis and detection of pathologies. They
are critical, for example, in the diagnosis of pneumonia, the detection of masses, and, more …
are critical, for example, in the diagnosis of pneumonia, the detection of masses, and, more …