A Software for the Lung Image Database Consortium and Image Database Resource Initiative
J Wang, B Zhang, L Lin, X Wu, S Wu - Proceedings of the 2019 8th …, 2019 - dl.acm.org
… In the field of lung cancer research, Lung Image Database … In the latest National Cancer
Report, the estimated deaths of … imaging and communication in DICOM files. These exploratory …
Report, the estimated deaths of … imaging and communication in DICOM files. These exploratory …
The international association for the study of lung cancer early lung imaging confederation
JL Mulshine, RS Avila, E Conley, A Devaraj… - JCO clinical cancer …, 2020 - ascopubs.org
… This initiative can rapidly accelerate improvements to the … as lung imaging technology
rapidly improves, lung images from … This project used global cloud-computing resources, each …
rapidly improves, lung images from … This project used global cloud-computing resources, each …
National cancer institute imaging data commons: toward transparency, reproducibility, and scalability in imaging artificial intelligence
… classification of lung cancer histopathologic images (39). … source of readily accessible and
searchable public image data that can support such notebooks in medical imaging research. …
searchable public image data that can support such notebooks in medical imaging research. …
… disagreement in rating diagnostic characteristics of pulmonary nodule using the lung imaging database consortium and image database resource initiative
H Lin, C Huang, W Wang, J Luo, X Yang, Y Liu - Academic radiology, 2017 - Elsevier
… Database Resource Initiative (IDRI) established a publicly … database for the medical imaging
research community. The reference database is referred to as the LIDC/IDRI database 1, 2. …
research community. The reference database is referred to as the LIDC/IDRI database 1, 2. …
The International Association for the Study of Lung Cancer early lung imaging confederation open-source deep learning and quantitative measurement initiative
S Lam, MW Wynes, C Connolly, K Ashizawa… - … of Thoracic Oncology, 2024 - Elsevier
… imaging resource can be used to advance AI research, we applied both deep learning AI
algorithms and traditional image-… as an open-source image resource with donated images and …
algorithms and traditional image-… as an open-source image resource with donated images and …
NCI imaging data commons
… that colocates imaging data with the compute resources and … and provides researchers
with access to (i) cancer image … from National Cancer Institute during the conduct of the study…
with access to (i) cancer image … from National Cancer Institute during the conduct of the study…
A radiogenomic dataset of non-small cell lung cancer
… this dataset to allow researchers to investigate the relationships between image features,
tumor … This work was funded by the National Cancer Institute and the National Institute of …
tumor … This work was funded by the National Cancer Institute and the National Institute of …
The public cancer radiology imaging collections of The Cancer Imaging Archive
… data collected and analyzed by The Lung Image Database Consortium (LIDC) and image …
imaging methods funded by The National Cancer Institute. The Reference Image Database to …
imaging methods funded by The National Cancer Institute. The Reference Image Database to …
DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
… researchers interested in the analysis of lung CT images. … the National Cancer Institute
(NCI) to establish a publicly available reference database of computed tomography (CT) images …
(NCI) to establish a publicly available reference database of computed tomography (CT) images …
… using only radiologist-quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical …
MC Hancock, JF Magnan - Journal of Medical Imaging, 2016 - spiedigitallibrary.org
… Lung Image Database Consortium dataset and only employ the radiologist-assigned diagnostic
feature values for the lung … Here, we focus on studies that mathematically approximate …
feature values for the lung … Here, we focus on studies that mathematically approximate …