> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/machine-learning/covid-ct-scan-classification.md). # CT-Scan for Covid-19 Classification using Machine Learning ## Dataset * [UCSD-AI4H/COVID-CT](https://github.com/UCSD-AI4H/COVID-CT) * [Paper](https://www.medrxiv.org/node/76881.external-links.html) * [ieee8023/covid-chestxray-dataset](https://github.com/ieee8023/covid-chestxray-dataset) * [Kaggle](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia) * [Dataset: CT Scan for Covid Classification](https://www.graviti.com/open-datasets/dataset-detail/CT_Scans_for_COVID-19_Classification) * [NCOV China](http://ncov-ai.big.ac.cn/download) * [haydengunraj/COVIDNet-CT: COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT](https://github.com/haydengunraj/COVIDNet-CT) * [DAtaset](https://www.kaggle.com/hgunraj/covidxct) : three categories (Covid, Control, Pneunomia) * [COVID-19 CT Lung and Infection Segmentation Dataset - Zenodo](https://zenodo.org/record/3757476#.X62Iw2hKiUk) * [Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets - Nature Communications](https://www.nature.com/articles/s41467-020-17971-2) * [Clara Deploy AI COVID-19 Classification - NVIDIA NGC](https://ngc.nvidia.com/catalog/containers/nvidia:clara:ai-covid-19): two categories (Covid, Normal) * [LIDC-IDRI - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki](https://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI) ## Notes * [Kaggle](https://www.kaggle.com/azaemon/preprocessed-ct-scans-for-covid19) * [Adrian Rosenbrerck](https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/) [GitHub Repo, work in progress](https://github.com/AleGiovanardi/covidhelper) * [PaperswithCode](https://paperswithcode.com/paper/covid-ct-dataset-a-ct-scan-dataset-about) ## Github * [AlexTS1980/COVID-CT-Mask-Net](https://github.com/AlexTS1980/COVID-CT-Mask-Net) : Segmentation and Classification, category (COVID, pneumonia, normal), Mask R-CNN. * [Presentation](https://github.com/AlexTS1980/COVID-CT-Mask-Net/blob/master/presentations/COVID_19_Presentation_Kent.pdf) * [Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT Scans](https://www.medrxiv.org/content/10.1101/2020.10.30.20223586v2.full.pdf) * [Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19](https://www.medrxiv.org/content/10.1101/2020.10.23.20218461v2.full.pdf) * [COVID-CT-Mask-Net: Prediction of COVID-19 From CT Scans Using Regional Features](https://www.medrxiv.org/content/10.1101/2020.10.11.20211052v2.full.pdf) * [bkong999/COVNet](https://github.com/bkong999/COVNet) * [Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233473/#SD1) * [Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy](https://pubs.rsna.org/doi/10.1148/radiol.2020200905) * [JordanMicahBennett/SMART-CT-SCAN\_BASED-COVID19\_VIRUS\_DETECTOR](https://github.com/JordanMicahBennett/SMART-CT-SCAN_BASED-COVID19_VIRUS_DETECTOR), historical project related CT scan usage for Covid Classification * [Covid-Net](https://github.com/lindawangg/COVID-Net), complete covid-net project (Covid-Net, CovidNet-S, CovidNet-CT, COVIDNet-CXR) * [COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images](https://www.nature.com/articles/s41598-020-76550-z) * [COVIDNet-S: Towards computer-aided severity assessment via training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity](https://arxiv.org/abs/2005.12855) * [COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images](https://arxiv.org/abs/2009.05383), GitHub Repo [haydengunraj/COVIDNet-CT](https://github.com/haydengunraj/COVIDNet-CT) : COVIDNet-CT * [zeeshannisar/COVID-19](https://github.com/zeeshannisar/COVID-19) : CovidNet with different architecture pretrained * [iliasprc/COVIDNet](https://github.com/iliasprc/COVIDNet) : Pytorch Implementation of CovidNET * [Jeremykhon](https://github.com/jeremykohn/rid-covid), complete list of project * [kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans](https://github.com/kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans) * [JunMa11/COVID-19-CT-Seg-Benchmark](https://github.com/JunMa11/COVID-19-CT-Seg-Benchmark) CT Scan Segmentation * [rekalantar/covid19\_detector](https://github.com/rekalantar/covid19_detector) * [aniruddh-1/COVID19\_Pneumonia\_detection](https://github.com/aniruddh-1/COVID19_Pneumonia_detection) * [rohilrg/COVID19-xray-classifier](https://github.com/rohilrg/COVID19-xray-classifier) * [KiLJ4EdeN/DeepCOVID](https://github.com/KiLJ4EdeN/DeepCOVID) * [sydney0zq/covid-19-detection](https://github.com/sydney0zq/covid-19-detection) * [Paperswithcode](https://paperswithcode.com/paper/automatic-detection-of-coronavirus-disease) * [paper/harmony-search-and-otsu-based-system-for](https://paperswithcode.com/paper/harmony-search-and-otsu-based-system-for) ## Paper * [A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia](https://www.sciencedirect.com/science/article/pii/S2095809920301636) * [Deep learning system to screen coronavirus disease 2019 pneumonia](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175452/) - similar with above paper * Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2, Xi Xu et al. * Chest CT findings in patients with coronavirus disease 2019 (COVID-19): a comprehensive review, Jinkui Li et al. * CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients,\ Vineeta Ojha et al. * iCTCF: an integrative resource of chest computed tomography images and clinical features of patients with COVID-19 pneumonia, Wanshan Ning et al. [Project Site](http://ictcf.biocuckoo.cn/), [Europe PMC Open Access](https://europepmc.org/article/ppr/ppr141530) [Research Square](https://www.researchsquare.com/article/rs-21834/v1) * Computed Tomography (CT) Imaging Features of Patients with COVID-19: Systematic Review and Meta-Analysis, Ephrem Awulachew et al. [NCBI Open Access](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378588/) * Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning, Wanshan Ning et al., [Nature Open Access](https://www.nature.com/articles/s41551-020-00633-5) * Fast automated detection of COVID-19 from medical images using convolutional neural networks, Shuang Liang et al. [Research Square](https://www.researchsquare.com/article/rs-32957/v1) * A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset, Mohammad Rahimzadeh et al. [Medrxiv](https://www.medrxiv.org/content/10.1101/2020.06.08.20121541v3) [Dataset](https://github.com/mr7495/COVID-CTset) [Code](https://github.com/mr7495/COVID-CT-Code) * [Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT Scans](https://www.medrxiv.org/content/10.1101/2020.10.30.20223586v2.full.pdf) * [Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19](https://www.medrxiv.org/content/10.1101/2020.10.23.20218461v2.full.pdf) * [COVID-CT-Mask-Net: Prediction of COVID-19 From CT Scans Using Regional Features](https://www.medrxiv.org/content/10.1101/2020.10.11.20211052v2.full.pdf) * [COVID-CT-Dataset: A CT Scan Dataset about COVID-19](https://arxiv.org/pdf/2003.13865.pdf) [GitHub Repo](https://github.com/UCSD-AI4H/COVID-CT) * [Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans](https://www.medrxiv.org/content/10.1101/2020.04.13.20063941v1) * [Benchmarking Deep Learning Models and Automated Model Design for COVID-19 Detection with Chest CT Scans](https://www.medrxiv.org/content/10.1101/2020.06.08.20125963v1) [GitHub](https://github.com/arthursdays/HKBU_HPML_COVID-19) * A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan, [Arxiv](https://arxiv.org/abs/2006.14419) [GitHub](https://github.com/KiLJ4EdeN/COVID_WEB) * [Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks](https://arxiv.org/pdf/2004.07407.pdf) [GitHub](https://github.com/amobiny/DECAPS_for_COVID19)