The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. - Update on new data sets - New features - New publications - Other news

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10 minutes with
1. New data sets
2. New features
3. New publications
4. Other news
http://cancerimagingarchive.net

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New data sets

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New Data:

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New Data: Coming Soon
1. MDACC Head-Neck collection
2. Closeout of TCGA
3. Two new collections recently approved
1. QIN DSC-MRI DRO
2. Radiomics CT Texture Phantom

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New features

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New Features: Intro video tutorial
https://wiki.cancerimagingarchive.net/x/3oNyAQ

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New publications

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9 new TCIA-related Publications
1. Golan R, Jacob C, Denzinger J, editors. Lung nodule detection in CT images using deep convolutional neural
networks. Neural Networks (IJCNN), 2016 International Joint Conference on; 2016.
2. Ahmed Z, Levesque IR. Increased robustness in reference region model analysis of DCE MRI using two‐step
constrained approaches. Magnetic Resonance in Medicine. 2016. doi: 10.1002/mrm.26530.
3. Anil R, Colen RR. Imaging Genomics in Glioblastoma Multiforme: A Predictive Tool for Patients Prognosis,
Survival, and Outcome. Magnetic Resonance Imaging Clinics of North America. 2016;24(4):731-40.
4. Roozgard A, Barzigar N, Verma P, Cheng S. 3D-SCoBeP: 3D medical image registration using sparse coding and
belief propagation. International Journal of Diagnostic Imaging. 2014;2(1):54-68.
5. Ypsilantis P-P, Montana G. Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging.
arXiv preprint arXiv:160909143. 2016.
6. Wang Q, Chen X, Wei M, Miao Z. Simultaneous encryption and compression of medical images based on
optimized tensor compressed sensing with 3D Lorenz. BioMedical Engineering OnLine. 2016;15(1):118.
7. Hsieh KL-C, Lo C-M, Hsiao C-J. Computer-aided grading of gliomas based on local and global MRI features.
Computer Methods and Programs in Biomedicine. 2016;139:31-8.
8. Krishnamurthy S, Narasimhan G, Rengasamy U. An Level Set Evolution Morphology Based Segmentation of Lung
Nodules and False Nodule Elimination by 3D Centroid Shift and Frequency Domain DC Constant Analysis.
International Journal of u- and e- Service, Science and Technology. 2016;9(10):187-98. doi:
http://www.sersc.org/journals/IJUNESST/vol9_no10/18.pdf
9. Nida N, Sharif M, Khan MUG, Yasmin M, Fernandes SL. A FRAMEWORK FOR AUTOMATIC COLORIZATION OF
MEDICAL IMAGING. IIOABJ. 2016;7:202-9.

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Other news

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Other News: TCIA to collect APOLLO Moonshot Data
https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative/milestones/nci-activities

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Other News: SPIE-AAPM ProstateX Challenge
PROSTATEx Classification Challenge
• Release date of training set cases with truth: 21 Nov 2016
• Release date of test set cases without truth: 12 Dec 2016
• Submission date for participants’ test set classification output: 15 Jan 2017
• Challenge results released to participants: 20 Jan 2017
• SPIE Medical Imaging Symposium: 13-16 Feb 2017
218 participants registered!