Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials.
In this study, we have developed a new approach based on 3D deep convolutional neural …
In this study, we have developed a new approach based on 3D deep convolutional neural …
[PDF][PDF] Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis.
Effective medical diagnosis is dramatically expensive, especially in third-world countries.
One of the common diseases is pneumonia, and because of the remarkable similarity …
One of the common diseases is pneumonia, and because of the remarkable similarity …
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 …
KUB-UNet: segmentation of organs of urinary system from a KUB X-ray image
Purpose The alarming increase in diseases of urinary system is a cause of concern for the
populace and health experts. The traditional techniques used for the diagnosis of these …
populace and health experts. The traditional techniques used for the diagnosis of these …
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans
S Tiwari, A Jain - International Journal of Imaging Systems and …, 2022 - Wiley Online Library
Abstract COVID‐19, a novel coronavirus, has spread quickly and produced a worldwide
respiratory ailment outbreak. There is a need for large‐scale screening to prevent the …
respiratory ailment outbreak. There is a need for large‐scale screening to prevent the …
Intelligent diagnosis of thyroid ultrasound imaging using an ensemble of deep learning methods
Background and Objectives: At present, thyroid disorders have a great incidence in the
worldwide population, so the development of alternative methods for improving the …
worldwide population, so the development of alternative methods for improving the …
Applying deep learning-based multi-modal for detection of coronavirus
Amidst the global pandemic and catastrophe created by 'COVID-19', every research
institution and scientist are doing their best efforts to invent or find the vaccine or medicine …
institution and scientist are doing their best efforts to invent or find the vaccine or medicine …
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images
The syndrome called COVID‐19 which was firstly spread in Wuhan, China has already been
declared a globally “Pandemic.” To stymie the further spread of the virus at an early stage …
declared a globally “Pandemic.” To stymie the further spread of the virus at an early stage …
Deep learning and medical imaging for COVID-19 diagnosis: A comprehensive survey
COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak,
impacting financial markets and healthcare systems globally. Countries all around the world …
impacting financial markets and healthcare systems globally. Countries all around the world …
Lung segmentation-based pulmonary disease classification using deep neural networks
Interpreting chest x-ray (CXR) to find anomalies in the thoracic region is a tedious job and
can consume an ample amount of radiologist's time when there are thousands of them to …
can consume an ample amount of radiologist's time when there are thousands of them to …