COVID-CT-Dataset: A CT Scan Dataset about COVID-19

03/30/2020 ∙ by Jinyu Zhao, et al. ∙ 78 ∙ share

CT scans are promising in providing accurate, fast, and cheap screening and testing of COVID-19. In this paper, we build a publicly available COVID-CT dataset, containing 275 CT scans that are positive for COVID-19, to foster the research and development of deep learning methods which predict whether a person is affected with COVID-19 by analyzing his/her CTs. We train a deep convolutional neural network on this dataset and achieve an F1 of 0.85 which is a promising performance but yet to be further improved. The data and code are available at https://github.com/UCSD-AI4H/COVID-CT

READ FULL TEXT

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results

In this work we present a novel system for PET estimation using CT scans...
07/30/2017 ∙ by Avi Ben-Cohen, et al. ∙ 0 ∙ share

read it
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

With the rapid development of COVID-19 into a global pandemic, there is ...
04/25/2020 ∙ by Jannis Born, et al. ∙ 11 ∙ share

read it
Spine intervertebral disc labeling using a fully convolutional redundant counting model

Labeling intervertebral discs is relevant as it notably enables clinicia...
03/09/2020 ∙ by Lucas Rouhier, et al. ∙ 0 ∙ share

read it
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

As the demand for more descriptive machine learning models grows within ...
09/05/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

read it
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis

Purpose: This paper proposes a pipeline to acquire a scalar tapering mea...
09/16/2019 ∙ by Kin Quan, et al. ∙ 7 ∙ share

read it
COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images

With the increasing demand for millions of COVID-19 tests, Computed Tomo...
04/06/2020 ∙ by Xin Li, et al. ∙ 15 ∙ share

read it
A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans

Man-made environments such as households, offices, or factory floors are...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 0 ∙ share

read it

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Authors

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Spine intervertebral disc labeling using a fully convolutional redundant counting model

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis

COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images

A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans

Code Repositories

COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Authors

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Spine intervertebral disc labeling using a fully convolutional redundant counting model

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis

COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images

A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans

Code Repositories

COVID-CT

This week in AI