Cancer Imaging Archive Updates: April 2020
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Tacconelli, Michelle (NIH/NCI) [C]
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TCIA Update: April 2020 |
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UT Southwestern researchers used MRIs and genomic information from TCIA & The Cancer Genome Atlas to develop a fully automated, highly accurate MRI-based deep learning method for classification of mutations in gliomas. http://bit.ly/2x5KXzu |
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The HNSCC collection has been updated to include a second study by MDACC researchers. It now contains PET and CT imaging, tumor volumes, and clinical data from 627 head-neck squamous cell carcinoma subjects (70 patient overlap in studies): https://doi.org/10.7937/k9/tcia.2020.a8sh-7363 |
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Access to CT data will help researchers develop improved computer algorithms and software to produce high-quality scans with low doses of radiation for patients http://ow.ly/WKjs50zmrjL...You can find this HUGE (1.2 terabytes!) new low-dose CT and projection dataset on TCIA at https:// doi.org/10.7937/9npb-2637 |
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A new "Analysis Results" #dataset has been posted! It includes radiologist assessments and protegenomic analyses of 20 patients from the TCGA-OV (ovarian) collection. Read their publication at https://doi.org/10.1007/s00330-020-06755-3 and access their data at http://doi.org/10.7937/ TCIA.2019.9stoinf1 |
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A new version of our radiology portal software (https:// nbia.cancerimagingarchive.net) was deployed this weekend. It includes a significant change to the way the Data Retriever structures the file names for individual DICOM image slices. Learn more at https://wiki.cancerimagingarchive.net/x/ooMaAQ |
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To enhance the value of TCIA collections we encourage the community to publish their analyses of TCIA collections. Examples include image segmentations or quantitative features. We've significantly improved https:// wiki.cancerimagingarchive.net/x/sgH1 to make these valuable data easier to discover. |
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The slides and video recording from OCCPR Webinar about The Cancer Imaging Archive are now available at https://wiki.cancerimagingarchive.net/ display/Public/CPTAC+ SIG+Webinars |
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New on The Cancer Imaging Archive CPTAC Pathology Portal: 38 radiology and 8 histopathology images available! Check out more about the CPTAC project here. |
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Stay Connected with TCIA |
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