The dataset is designed to allow for different methods to be tested for examining the trends in CT image data associated with using contrast and patient age.

The LUNA16 (LUng Nodule Analysis) dataset is a dataset for lung segmentation. It consists of 1,186 lung nodules annotated in 888 CT scans.

20 июл. 2018 г. · The National Institutes of Health's Clinical Center has made a large-scale dataset of CT images publicly available to help the scientific ...

My best suggestion for CT scan dataset is Luna16 - it is fairly big ~ 75gb and 900 scans or so. I also made a smaller dataset of COVID-19 scans, which is ...

9 янв. 2020 г. · This dataset consists of 140 computed tomography (CT) scans, each with five organs labeled in 3D: lung, bones, liver, kidneys and bladder.

Using this dataset, we develop diagnosis methods based on multi-task learning and self-supervised learning, that achieve an F1 of 0. 90, an AUC of 0. 98, and an ...

First dataset - from 632 patients with COVID-19 infections at initial point of care, and; Second dataset - a second set of 121 CTs from 29 patients with COVID- ...

16 апр. 2021 г. · The LoDoPaB-CT dataset is designed for a methodological comparison of CT reconstruction methods on a simulated low-dose parallel beam setting.

This dataset (1110 studies) contains anonymized human lung CT scans (CT scans) with signs of COVID-19 (CT1-CT4) and without signs of COVID-19 (CT0) (Figure 1).

12 мая 2021 г. · We provide an open-source repository containing 1000+ CT images of COVID-19 lung infections established by a team of board-certified radiologists.