2D-to-3D: a review for computational 3D image reconstruction from X-ray images
In the clinical research, three-dimensional/volumetric anatomical structure of the human
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …
CDC_Net: Multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X …
Abstract Coronavirus (COVID-19) has adversely harmed the healthcare system and
economy throughout the world. COVID-19 has similar symptoms as other chest disorders …
economy throughout the world. COVID-19 has similar symptoms as other chest disorders …
On imaging modalities for cephalometric analysis: a review
A Gupta - Multimedia Tools and Applications, 2023 - Springer
Cephalometrics is an integral part of orthodontic diagnosis and treatment planning. It has
been extensively used to study variation in human face and craniofacial growth …
been extensively used to study variation in human face and craniofacial growth …
[HTML][HTML] A Convolutional Neural Network ensemble model for Pneumonia Detection using chest X-ray images
H Bhatt, M Shah - Healthcare Analytics, 2023 - Elsevier
Pneumonia is a respiratory infection caused by microbes and other environmental factors. It
infects the lungs causing a buildup of fluid and difficulty in breathing and is the leading …
infects the lungs causing a buildup of fluid and difficulty in breathing and is the leading …
Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures
Pediatric pneumonia has drawn immense awareness due to the high mortality rates over
recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the …
recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the …
Privacy-enhanced pneumonia diagnosis: IoT-enabled federated multi-party computation in industry 5.0
Pneumonia is a significant global health concern that can lead to severe and sometimes
fatal consequences. Timely identification and classification of pneumonia can substantially …
fatal consequences. Timely identification and classification of pneumonia can substantially …
LWSNet-a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery
A Lasker, M Ghosh, SM Obaidullah… - Multimedia Tools and …, 2023 - Springer
Automatic detection of lung diseases using AI-based tools became very much necessary to
handle the huge number of cases occurring across the globe and support the doctors. This …
handle the huge number of cases occurring across the globe and support the doctors. This …
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for pediatric pneumonia detection
Pediatric pneumonia remains a significant global threat, surpassing all other communicable
diseases in child mortality and necessitating rapid diagnosis. UNICEF identifies it as a …
diseases in child mortality and necessitating rapid diagnosis. UNICEF identifies it as a …
Tumorous kidney segmentation in abdominal CT images using active contour and 3D-UNet
M Pandey, A Gupta - Irish Journal of Medical Science (1971-), 2023 - Springer
Background and purpose The precise segmentation of the kidneys in computed tomography
(CT) images is vital in urology for diagnosis, treatment, and surgical planning. Medical …
(CT) images is vital in urology for diagnosis, treatment, and surgical planning. Medical …
Analysis for diagnosis of pneumonia symptoms using chest X-ray based on MobileNetV2 models with image enhancement using white balance and contrast limited …
This study focuses on diagnosing pneumonia symptoms using chest X-ray (CXR) images. It
employs the MobileNetV2 model alongside image enhancement techniques, including white …
employs the MobileNetV2 model alongside image enhancement techniques, including white …