Skip to Main Content

Paper Details

DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research.
PeerJ
52
2016
DICOM, HNC, annotated objects, head and neck cancer, patients, reference regions, tumor
Author NameAffiliation
Steve PieperInc.
Ron KikinisBrigham and Women's Hospital, United States of America Harvard Medical School, Harvard University, University of Bremen
  • 1 - 2

Datasets

Dataset
Description
Source Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
The Cancer Imaging ArchiveTCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as ⿿Collections⿝, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.Link
Release 1.2