This dataset contains 20 labeled COVID-19 CT scans. Left lung, right lung, and infections are labeled by two radiologists and verified by an experienced radiologist. To promote the studies of annotation-efficient deep learning methods, we set up three segmentation benchmark tasks based on this dataset https://gitee.com/junma11/COVID-19-CT-Seg-Benchmark. In particular, we focus on learning to segment left lung, right lung, and infections using pure but limited COVID-19 CT scans; existing labeled lung CT dataset from other non-COVID-19 lung diseases; heterogeneous datasets include both COVID-19 and non-COVID-19 CT scans
We present a deep learning (DL)-based automated whole lung and COVID-19 pneumonia infectious lesions...
Chest computed tomography (CT) is a valuable tool for the diagnosis and management of COVID-19. Howe...
The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of ...
COVID-19 is a rapidly spreading disease over the world, yet hospital resources are limited. A recent...
The COVID-19 pandemic has had a devastating impact on the global population, and early diagnosis and...
Lung Computed Tomography (CT) is an imaging technique useful to assess the severity of COVID-19 infe...
Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease p...
Background: The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and h...
Background: The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and h...
Automatic segmentation of infected regions in computed tomography (CT) images is necessary for the i...
The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and has a signifi...
WOS:000880145900003PubMed ID36311473This paper aims to diagnose COVID-19 by using Chest X-Ray (CXR) ...
International audienceSince the appearance of Covid-19 pandemic, in the end of 2019, Medical Imaging...
International audienceThis paper presents an automatic classification segmentation tool for helping ...
International audienceThis paper presents an automatic classification segmentation tool for helping ...
We present a deep learning (DL)-based automated whole lung and COVID-19 pneumonia infectious lesions...
Chest computed tomography (CT) is a valuable tool for the diagnosis and management of COVID-19. Howe...
The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of ...
COVID-19 is a rapidly spreading disease over the world, yet hospital resources are limited. A recent...
The COVID-19 pandemic has had a devastating impact on the global population, and early diagnosis and...
Lung Computed Tomography (CT) is an imaging technique useful to assess the severity of COVID-19 infe...
Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease p...
Background: The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and h...
Background: The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and h...
Automatic segmentation of infected regions in computed tomography (CT) images is necessary for the i...
The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and has a signifi...
WOS:000880145900003PubMed ID36311473This paper aims to diagnose COVID-19 by using Chest X-Ray (CXR) ...
International audienceSince the appearance of Covid-19 pandemic, in the end of 2019, Medical Imaging...
International audienceThis paper presents an automatic classification segmentation tool for helping ...
International audienceThis paper presents an automatic classification segmentation tool for helping ...
We present a deep learning (DL)-based automated whole lung and COVID-19 pneumonia infectious lesions...
Chest computed tomography (CT) is a valuable tool for the diagnosis and management of COVID-19. Howe...
The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of ...