Skip to Main Content

An official website of the United States government

Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.

Name Principal Investigator Institution Study Date Approved Project ID
Deep learning based cancer grading for early detection from histology image biostatistics Ahmet Coskun Georgia Institute of Technology PLCO Nov 17, 2020 PLCOI-695
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images Mohammad Soltanieh-ha Boston University NLST Jul 13, 2020 NLST-692
Deep learning based Lung disease(COPD) classification Jinhao Huo Ningbo University NLST Jan 2, 2024 NLST-1173
Deep learning based lymph node metastasis and prognosis prediction for lung cancer Danqing Hu Zhejiang lab NLST Jul 22, 2022 NLST-939
Deep learning-based prediction of colorectal tumor features and clinical characteristics based on histology images Ulrike Peters Fred Hutchinson Cancer Center PLCO Jun 18, 2020 PLCOI-634
Deep learning based prognosis prediction for lung cancer patients Danqing Hu Zhejiang lab PLCO Jul 22, 2022 PLCOI-1005
deep learning based pulmonary intelligent assistant diagnosis system xiaohua liu LinkDoc Technology (Beijing) Co.,Ltd. NLST Jun 13, 2019 NLST-513
Deep learning Cancer Diagnosis Kang Li Harbin Medical University NLST Aug 6, 2021 NLST-826
Deep Learning for Analysis of Pulmonary Nodules at Low-Dose CT Yajun Wu Shenzhen Yorktal Digital Medical Imaging Technologies Company Ltd, China NLST Jan 10, 2023 NLST-1005
Deep Learning for Chest X-Ray Radiological Findings Related to Covid-19 Bambang Trilaksono PT Riset Kecerdasan Buatan PLCO Jul 24, 2020 PLCOI-656
Deep Learning for Discovering and Visualising Biomarkers Gustavo Carneiro University of Adelaide NLST Nov 4, 2020 NLST-723
Deep learning for early diagnosis of lung cancer using low-dose CT scans Safak Yakti Binghamton University NLST Apr 9, 2018 NLST-398
Deep learning for identification of spread through air spaces (STAS) and prediction of survival of lung adenocarcinoma using pathology images I-Fang Chung Institute of Biomedical Informatics, National Yang-Ming University, Taiwan NLST Dec 2, 2020 NLST-730
Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT Piotr Slomka Cedars-Sinai NLST Nov 1, 2022 NLST-981
Deep Learning for Investigation of Relationship between Whole Slide Image Features, Biomarkers, and Clinical Outcomes in Cancer Patients Min Yuan Anhui Medical University PLCO May 7, 2021 PLCOI-783
Deep Learning for Lung Cancer Detection Ryan Sherman Deep Analytics NLST Sep 27, 2017 NLST-341
Deep learning for lung nodule detection and cancer prediction Quan Chen University of Kentucky NLST Jun 22, 2017 NLST-320
Deep Learning for Pathology Detection in Chest X-Rays Ivo Matteo Baltruschat University Medical Center Hamburg-Eppendorf PLCO May 24, 2017 PLCO-275
Deep Learning for Pathology Image Analysis Lily Peng Google PLCO May 16, 2017 PLCO-257
Deep Learning for Prediction of Progression and Overall Survival of Lung Cancer using CT Examinations Brian Huang University of Pennsylvania NLST Aug 18, 2020 NLST-705