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- Moitra, D., & Mandal, R. K. (2020). Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network. Journal of Digital Imaging, 1-8. doi:10.1007/s10278-020-00337-x
- Moitra, D., & Mandal, R. K. (2022). Classification of malignant tumors by a non-sequential recurrent ensemble of deep neural network model. Multimed Tools Appl, 1-19. doi:10.1007/s11042-022-12229-z
- Morgado, J., Pereira, T., Silva, F., Freitas, C., Negrão, E., de Lima, B. F., . . . Oliveira, H. P. (2021). Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer. Applied Sciences, 11(7), 3273. doi:10.3390/app11073273
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url | https://wiki.cancerimagingarchive.net/download/attachments/28672347/NSCLC_Radiogenomics-6-1-21%20Version%204.tcia?version=1&modificationDate=1622561925765&api=v2 |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=NSCLC%20Radiogenomics |
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url | https://wiki.cancerimagingarchive.net/download/attachments/28672347/NSCLCR01Radiogenomic_DATA_LABELS_2018-05-22_1500-shifted.csv?version=1&modificationDate=1531967714295&api=v2 |
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| - Added missing image studies for the following cases: R01-009 (CT), R01-100 (PET/CT), and R01-111 (PET/CT).
- SUV conversion factor DICOM tag (7053,1000) was added for the following Philips PET images: R01-074, R01-077, R01-079, R01-089, R01-98 and R01-137.
Version 3: Updated 2020/11/10 Data Type | Download all or Query/Filter |
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url | https://wiki.cancerimagingarchive.net/download/attachments/28672347/NSCLC_Radiogenomics-11-10-2020%20Version%203.tcia?version=1&modificationDate=1605026035749&api=v2 |
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url | https://wiki.cancerimagingarchive.net/download/attachments/28672347/AIM_files_updated-11-10-2020.zip?version=1&modificationDate=1605631114167&api=v2 |
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url | https://wiki.cancerimagingarchive.net/download/attachments/28672347/NSCLCR01Radiogenomic_DATA_LABELS_2018-05-22_1500-shifted.csv?version=1&modificationDate=1531967714295&api=v2 |
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| - A new version of RO1-023 was created to correct a cranial-caudal flip of the segmentation of the CT volume (483 images) and associated Segmentation object. The UIDs of the other scans were updated to preserve Study level consistency but were otherwise unmodified. The referenced UIDs within the AIM object for RO1-023 were updated and renamed to RO1-023v1.
- RO1-038 was updated to remove a coronal slice at the start of the of the CT volume. This created difficulty for some software to determine slice spacing.
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