A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
SK Zhou, H Greenspan, C Davatzikos… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …
and has achieved remarkable success in many medical imaging applications, thereby …
Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
COVID-19 CT image synthesis with a conditional generative adversarial network
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread
rapidly since December 2019. Real-time reverse transcription polymerase chain reaction …
rapidly since December 2019. Real-time reverse transcription polymerase chain reaction …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the
globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest …
globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest …
Semi-supervised segmentation of radiation-induced pulmonary fibrosis from lung CT scans with multi-scale guided dense attention
G Wang, S Zhai, G Lasio, B Zhang, B Yi… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Computed Tomography (CT) plays an important role in monitoring radiation-induced
Pulmonary Fibrosis (PF), where accurate segmentation of the PF lesions is highly desired for …
Pulmonary Fibrosis (PF), where accurate segmentation of the PF lesions is highly desired for …
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution
X Zhao, P Zhang, F Song, G Fan, Y Sun, Y Wang… - Computers in biology …, 2021 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) has become one of the most urgent public
health events worldwide due to its high infectivity and mortality. Computed tomography (CT) …
health events worldwide due to its high infectivity and mortality. Computed tomography (CT) …
On the role of artificial intelligence in medical imaging of COVID-19
Although a plethora of research articles on AI methods on COVID-19 medical imaging are
published, their clinical value remains unclear. We conducted the largest systematic review …
published, their clinical value remains unclear. We conducted the largest systematic review …
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
This article presents a systematic overview of artificial intelligence (AI) and computer vision
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …