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  1. DICOMCTPDreader Matlab DICOM-CTPD reader script.m

    The Cancer Imaging Archive (TCIA) Public Access / … / Low Dose CT Image and Projection Data (LDCT-and-Projection-data) • Nov 07, 2019

  2. DICOM-CT-PD-dict_v10 Matlab DICOM-CTPD data dict.txt

    # # DICOM Data Dictionary # # Copyright 2000-2007 The MathWorks, Inc. # $Revision$ $Date$ # # ------------------------------------------------------------------------ # Attributes can appear multiple times. The last duplicate entry is the # one which is used. # # Comment lines begin with "#". # # Items ar
    The Cancer Imaging Archive (TCIA) Public Access / … / Low Dose CT Image and Projection Data (LDCT-and-Projection-data) • Nov 07, 2019

  3. Low Dose CT Image and Projection Data (LDCT-and-Projection-data)

    ) Phantom Object Only DICOM-CT-PD User Manual Version 3 (.pdf, 1.32 MB) Matlab DICOM-CTPD data dictionary (.txt, 104 kB) Matlab DICOM-CTPD reader script (.txt, 4 kB) Clinical Data (CSV, zip, 107 kB) Click
    The Cancer Imaging Archive (TCIA) Public Access • Apr 12, 2024

  4. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge (QIN Breast DCE-MRI)

    ) Images (20 files, modality KO, datatype Matlab + DICOM, 8.4GB) Pathological Response (XLS, 10 kB) Population … of Participants 10 Number of Studies 20 Number of Series 672 Number of Images 76,328 Image Size (GB) 49.5 Matlab and NIFTI Data
    The Cancer Imaging Archive (TCIA) Public Access • Apr 15, 2024

  5. Fused Radiology-Pathology Prostate Dataset (Prostate Fused-MRI-Pathology)

      https://www.ibm.com/aspera/connect/to your browser to retrieve this faspex package)  Fused Rad-Path Matlab Files (zip, 65 kB … Statistics Radiology Image Statistics Pathology Image Statistics Modalities MRI Pathology, Matlab Number of Participants 28 16 Number
    The Cancer Imaging Archive (TCIA) Public Access • Apr 15, 2024

  6. ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image Collection (TCGA-LGG-Mask)

    Summary This collection contains 406 ROI masks in MATLAB format defining the low grade glioma (LGG) tumour region on T1-weighted (T1W), T2-weighted (T2W), T1 … Matlab Segmentations (109 subjects, 406 files, MAT, ZIP, 18MB) Additional Resources for this Dataset The following external resources have
    TCIA DOIs • Feb 21, 2024

  7. Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR)

    +TCIA+Images) Deformation Vector Fields (MATLAB, 1.7 GB) Click the Versions tab for more info about data releases. Detailed Description Collection Statistics Modalities CT, MR, RTSTRUCT, Matlab Number of Patients 9 Number of Studies 25 Number
    The Cancer Imaging Archive (TCIA) Public Access • Apr 12, 2024

  8. Data from The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans (LIDC-IDRI)

    (Matlab) This tool is a community contribution developed by Thomas Lampert.  It is designed for extracting individual annotations from the XML files and converting them, and the DICOM images, into TIF format for easier processing in Matlab ( dataset).  It is available for download from
    The Cancer Imaging Archive (TCIA) Public Access • Apr 12, 2024

  9. Radiomics outcome prediction in Oropharyngeal cancer

    was performed using an open-source institutionally-developed software that runs on Matlab platform.  A related dataset is here: Data from Head and Neck Cancer … . Radiomics analysis was performed using an open-source institutionally-developed software that runs on Matlab platform. Links to these can be found in the related
    TCIA DOIs • Dec 05, 2023

  10. A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities (Soft-tissue-Sarcoma)

    https://github.com/mvallieres/radiomics. See the function 'readAllDICOM_STS.m' to read and organize the DICOM data in MATLAB. Note:  the images contain no private
    The Cancer Imaging Archive (TCIA) Public Access • Apr 15, 2024