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31 research data, page 1 of 4

Data From LIDC-IDRI

Armato III, Samuel G.; McLennan, Geoffrey; Bidaut, Luc; McNitt-Gray, Michael F.; Meyer, Charles R.; Reeves, Anthony P.; Zhao, Binsheng; Aberle, Denise R.; Henschke, Claudia I.; Hoffman, Eric A.; Kazerooni, Ella A.; MacMahon, Heber; van Beek, Edwin J.R.; Yankelevitz, David; Biancardi, Alberto M.;... (2015)
Publisher: The Cancer Imaging Archive
The Lung Image Database Consortium image collection (LIDC-IDRI) consists of diagnostic and lung cancer screening thoracic computed tomography (CT) scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis. Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and ...

Data From RIDER_Lung CT

Zhao, Binsheng; Schwartz, Lawrence H; Kris, Mark G (2015)
Publisher: The Cancer Imaging Archive
The RIDER Lung CT collection was constructed as part of a study to evaluate the variability of tumor unidimensional, bidimensional, and volumetric measurements on same-day repeat computed tomographic (CT) scans in patients with non–small cell lung cancer. Thirty-two patients with non–small cell lung cancer, each of whom underwent two CT scans of the chest within 15 minutes by using the same imaging protocol, were included in this study. Three radiologists independently measured the two greate...

Radiology Data from The Cancer Genome Atlas Breast Invasive Carcinoma [TCGA-BRCA] collection

Lingle, Wilma; Erickson, Bradley J.; Zuley, Margarita L.; Jarosz, Rose; Bonaccio, Ermelinda; Filippini, Joe; Net, Jose M.; Levi, Len; Morris, Elizabeth A.; Figler, Gloria G.; Elnajjar, Pierre; Kirk, Shanah; Lee, Yueh; Giger, Maryellen; Gruszauskas, Nicholas (2016)
Publisher: The Cancer Imaging Archive
The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA). Clinical, genetic, and pathological data resides in the Genomic Data Commons (GDC) Data Portal while the radiological data is stored on The Cancer Imaging Archive (TCIA). Matched TCGA patient identifiers allow researchers ...

Data From NaF_PROSTATE

Kurdziel, Karen A; Apolo, Andrea B.; Lindenberg, Liza; Mena, Esther; McKinney, Yolanda Y.; Adler, Stephen S.; Turkbey, Baris; Dahut, William; Gulley, James L.; Madan, Ravi A.; Landgren, Ola; Choyke, Peter L. (2015)
Publisher: The Cancer Imaging Archive
This is a collection of F-18 NaF positron emission tomography/computed tomography (PET/CT) images in patients with prostate cancer, with suspected or known bone involvement. Imaging was performed on a Phillips Gemini TF PET/CT scanner based on 4x4x22mm LYSO (lutetium yttrium orthosilicate) crystal detection elements covering 18cm axial field of view (FOV) and 57cm imaging transaxial FOV. The time of flight resolution is 585ps. The scanner achieves a spatial resolution of 4.8mm at the center o...

Segmentation Labels for the Pre-operative Scans of the TCGA-GBM collection

Bakas, Spyridon; Akbari, Hamed; Sotiras, Aristeidis; Bilello, Michel; Rozycki, Martin; Kirby, Justin; Freymann, John; Farahani, Keyvan; Davatzikos, Christos (2017)
Publisher: The Cancer Imaging Archive

Data From REMBRANDT

Scarpace, Lisa; Flanders, Adam E.; Jain, Rajan; Mikkelsen, Tom; Andrews, David W. (2015)
Publisher: The Cancer Imaging Archive
Finding better therapies for the treatment of brain tumors is hampered by the lack of consistently obtained molecular data in a large sample set and the ability to integrate biomedical data from disparate sources enabling translation of therapies from bench to bedside. Hence, a critical factor in the advancement of biomedical research and clinical translation is the ease with which data can be integrated, redistributed, and analyzed both within and across functional domains. Novel biomedical ...

Data From RIDER_PHANTOM_PET-CT

Muzi, Peter; Wanner, Michelle; Kinahan, Paul (2015)
Publisher: The Cancer Imaging Archive
The RIDER Phantom PET-CT collection consists of repeat measurement PET/CT phantom scan collections carried out under the aegis of the Society of Nuclear Medicine (SNM) to discern the uniformity of clinical imaging instrumentation at various sites. They were obtained in cooperation with SNM as a resource for increased quantitative understanding of machine acquisition, analytic reproducibility and image processing. The phantom was manufactured by Sanders Medical(www.sandersmedical.com) in Decem...

Data From RIDER_NEURO_MRI

Barboriak, Daniel (2015)
Publisher: The Cancer Imaging Archive
RIDER Neuro MRI contains imaging data on 19 patients with recurrent glioblastoma who underwent repeat imaging sets. These images were obtained approximately 2 days apart (with the exception of one patient, RIDER Neuro MRI-1086100996, whose images were obtained one day apart). DCE‐MRI: All 19 patients had repeat dynamic contrast‐enhanced MRI (DCE‐MRI) datasets on the same 1.5T imaging magnet. On the basis of T2‐weighted images, technologists chose 16 image locations using 5mm thick conti...

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging

Mazurowski MA, Zhang J, Grimm LJ, Yoon SC, and Silber JI (2014)
Publisher: The Cancer Imaging Archive

Curated Breast Imaging Subset of DDSM

Sawyer-Lee, Rebecca; Gimenez, Francisco; Hoogi, Assaf; Rubin, Daniel (2016)
Publisher: The Cancer Imaging Archive
This CBIS-DDSM (Curated Breast Imaging Subset of DDSM) is an updated and standardized version of the Digital Database for Screening Mammography (DDSM). The DDSM is a database of 2,620 scanned film mammography studies. It contains normal, benign, and malignant cases with verified pathology information. The scale of the database along with ground truth validation makes the DDSM a useful tool in the development and testing of decision support systems. The CBIS-DDSM collection includes a subset ...