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. …
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…
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 …
Enrichment of lung cancer computed tomography collections with AI-derived annotations
D Krishnaswamy, D Bontempi, VK Thiriveedhi… - Scientific data, 2024 - nature.com
… National Cancer Institute (NCI) Imaging Data Commons (IDC) 1 contains publicly available
cancer imaging, image-derived, and image-… as those produced in the process of our study. …
cancer imaging, image-derived, and image-… as those produced in the process of our study. …
… three-dimensional U-Net deep-learning model for automated detection of lung nodules on chest CT images from the lung image database consortium and Japanese …
K Suzuki, Y Otsuka, Y Nomura, KK Kumamaru… - … Radiology, 2022 - Elsevier
… The purpose of this study was to evaluate the accuracy of the … Resource Initiative dataset.
For internal model validation, we … National Cancer Institute and the Foundation for the National …
For internal model validation, we … National Cancer Institute and the Foundation for the National …
NCI Cancer Research Data Commons: resources to share key cancer data
Z Wang, TM Davidsen, GR Kuffel, KD Addepalli, A Bell… - Cancer Research, 2024 - AACR
… The CRDC is a key component of the national cancer data … Examples of data in IDC include
radiology image modalities (… from NIH HEAL Initiative during the conduct of the study. J. …
radiology image modalities (… from NIH HEAL Initiative during the conduct of the study. J. …
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 2: Pathology Whole Slide Image De-identification, De …
… images from this project through the NCI Cancer Research … To close this gap, an open-source
software library [14] was … Segmentation of lung from non-lung areas reduced the AUC …
software library [14] was … Segmentation of lung from non-lung areas reduced the AUC …
Radiomics prediction of EGFR status in lung cancer—our experience in using multiple feature extractors and the Cancer Imaging Archive data
… phy (CT) images of patients with non–small cell lung cancer (NSCLC) … In this study, we aimed
to use different feature extractors on … by U01 CA225431 from the National Cancer Institute. …
to use different feature extractors on … by U01 CA225431 from the National Cancer Institute. …