Recent developments in segmentation of COVID-19 CT images using deep-learning: an overview of models, techniques and challenges
J Zhang, C Ying, Z Ye, D Ma, B Wang… - … Signal Processing and …, 2024 - Elsevier
The outbreak of the COVID-19 has resulted in a catastrophic situation worldwide and has
become one of the most serious diseases in the last hundred years. In recent years, with the …
become one of the most serious diseases in the last hundred years. In recent years, with the …
A weakly supervised inpainting-based learning method for lung CT image segmentation
Recently, various fully supervised learning methods are successfully applied for lung CT
image segmentation. However, pixel-wise annotations are extremely expert-demanding and …
image segmentation. However, pixel-wise annotations are extremely expert-demanding and …
A deep learning-based application for COVID-19 diagnosis on CT: the imaging COVID-19 AI initiative
L Topff, J Sánchez-García, R López-González… - Plos one, 2023 - journals.plos.org
Background Recently, artificial intelligence (AI)-based applications for chest imaging have
emerged as potential tools to assist clinicians in the diagnosis and management of patients …
emerged as potential tools to assist clinicians in the diagnosis and management of patients …
COVID-19 Lung CT image segmentation using localization and enhancement methods with U-Net
Segmentation of pneumonia lesions from Lung CT images has become vital for diagnosing
the disease and evaluating the severity of the patients during the COVID-19 pandemic …
the disease and evaluating the severity of the patients during the COVID-19 pandemic …
[HTML][HTML] Advances of AI in image-based computer-aided diagnosis: A review
Over the past two decades, computer-aided detection and diagnosis have emerged as a
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for …
L Topff, KBW Groot Lipman, F Guffens, R Wittenberg… - European …, 2023 - Springer
Objectives Only few published artificial intelligence (AI) studies for COVID-19 imaging have
been externally validated. Assessing the generalizability of developed models is essential …
been externally validated. Assessing the generalizability of developed models is essential …
Explainable diagnosis, lesion segmentation and quantification of COVID-19 infection from CT images using convolutional neural networks
N Darapaneni, AT Sreevanth, AR Paduri… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
The health crisis caused by the COVID-19 pandemic has led to unprecedented research
efforts to build AI solutions that can assist healthcare systems. In this work, we propose a …
efforts to build AI solutions that can assist healthcare systems. In this work, we propose a …
Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust
Due to the severity and speed of spread of the ongoing Covid-19 pandemic, fast but
accurate diagnosis of Covid-19 patients has become a crucial task. Achievements in this …
accurate diagnosis of Covid-19 patients has become a crucial task. Achievements in this …
[HTML][HTML] Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach
The challenges associated with conventional methods of COVID-19 detection have
prompted the exploration of alternative approaches, including the analysis of lung X-ray …
prompted the exploration of alternative approaches, including the analysis of lung X-ray …
Segmentation of lung lobes and lesions in chest CT for the classification of COVID-19 severity
P Khomduean, P Phuaudomcharoen, T Boonchu… - Scientific Reports, 2023 - nature.com
To precisely determine the severity of COVID-19-related pneumonia, computed tomography
(CT) is an imaging modality beneficial for patient monitoring and therapy planning. Thus, we …
(CT) is an imaging modality beneficial for patient monitoring and therapy planning. Thus, we …