COVID-CT-MD dataset, which is accompanied with lobe-level, slice-level and patient-level labels, has the potential to facilitate the COVID-19 research, in particular COVID-CT-MD can assist in development of advanced Machine Learning (ML) and Deep Neural Network (DNN) based solutions....
https://figshare.com/articles/dataset/COVID19-CTset_part2/13669969 https://figshare.com/articles/figure/COVID19-CTset_parts_3_5/14174606 One part of the dataset(sufficient for training and testing deep neural networks) is also shared at:https://www.kaggle.com/mohammadrahimzadeh/covidctset...
A COVID-19 CT Scan Dataset Applicable in Machine Learning and Deep Learning - ShahinSHH/COVID-CT-MD
Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset 来自 EBSCO 喜欢 0 阅读量: 14 作者: S Parsarad,N Saeedizadeh,GJ Soufi,S Shafieyoon,F Hekmatnia,AP Zarei,S Soleimany,A Yousefi,H Nazari,P Torabi 展开 ...
COVIDx CT-3: A Large-scale, Multinational,Open-Source Benchmark Dataset for Computer-aidedCOVID-19 Screening from Chest CT ImagesHayden Gunraj 1,2 , Tia Tuinstra 1,2 , Alexander Wong 1,2,3,41 Vision and Image Processing Lab, University of Waterloo2 Department of Systems Design Engineering...
Introduction: Computed tomography (CT) was a widely used diagnostic technique for COVID-19 during the pandemic. High-Resolution Computed Tomography (HRCT), is a type of computed tomography that enhances image resolution through the utilization of advanced methods. Due to p...
The aim of this study is to determine whether self supervision can increase classification performance on a small COVID-19 CT scan dataset. This study also aims to determine whether the proposed self supervision strategy, targeted self supervision, is a viable option for a COVID-19 imaging ...
COVID-19deep learningsubject-wise data splitslice-wise data splitrepeatabilityAccurate detection of respiratory system damage including COVID-19 is considered one of the crucial applications of deep learning (DL) models using CT images. However, the main shortcoming of the publish...
The ISFCT Dataset contains data from 178 subjects diagnosed with COVID-19 (43,399 CT slices) and 156 healthy controls (39,767 CT slices). All CT slices have an equal size of 768 × 768 pixels, and each subject has (on average) 260 CT slices. The distribution of scans labeled with ...
The infection by SARS-CoV-2 which causes the COVID-19 disease has spread widely over the whole world since the begin- ning of 2020. Following the epidemic which started in Wuhan, China on January 30, 2020 the World Health Organization (WHO) declared a global health emergency and a ...