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Paper Details

Quantitative Imaging Informatics for Cancer Research.
JCO Clin Cancer Inform
8
2020
Cancer, cancer, glioblastoma, neck cancer, prostate cancer
Author NameAffiliation
Jayashree Kalpathy-CramerMassachusetts General Hospital
Jean-Christophe Fillion-Robin
Jean-Christophe Fillion-Robin
Steve Pieper
Joel SaltzStony Brook University
Joel SaltzStony Brook University
Ron KikinisBrigham and Women's Hospital, Harvard Medical School
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Datasets

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