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Collection Manager REST API Page

[…] metadata: https://cancerimagingarchive.net/api/v1/downloads/?include=549&_fields=id,slug,status,data_type,file_type,download_url,download_size,download_size_units,search_url,cancer_type,cancer_location,species,subjects,modalities,supporting_data,collection_status Filtered response: ,”file_type”:,”download_url”:”https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/19039714\/TCIA_TCGA-SARC_09-16-2015.tcia?version=1&modificationDate=1534787003333&api=v2″,”download_size”:”3″,”search_url”:”https:\/\/ www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=TCGA-SARC”,”cancer_type”:,”cancer_location”:,”species”:,”subjects”:”5″,”modalities”:,”supporting_data”:,”collection_status”:”Complete”}] For comparison, here is […]

BREAST-MRI-NACT-PILOT

DOI: 10.7937/K9/TCIA.2016.QHsyhJKy | Image Collection

This collection contains longitudinal DCE MRI studies of 64 patients undergoing neoadjuvant chemotherapy (NACT) for invasive breast cancer. 

Patient population

This pilot study to investigate the use of serial DCE MRI examinations during neoadjuvant chemotherapy for invasive breast cancer recruited 68 patients with stage II or III locally advanced breast cancer enrolled between...

[…] found at: ACRIN 6657 Protocol http:// www.acrin.org/6657_protocol.aspx I-SPY TRIAL http://ncicb.nci.nih.gov/tools/translation_research/ispy (archive.org recovered […]

BREAST-CANCER-SCREENING-DBT

DOI: 10.7937/E4WT-CD02 | Image Collection

Breast cancer is among the most common cancers and a common cause of death among women. Over 39 million breast cancer screening exams are performed every year and are among the most common radiological tests. This creates a high need for accurate image interpretation. Machine learning has shown promise in interpretation of medical images. However, limited data for training and validation remains an issue.

Here,...

[…] related to the data: https:// www.reddit.com/r/DukeDBTData/ Required Preprocessing of DBT […]

TCGA-LUSC

DOI: 10.7937/K9/TCIA.2016.TYGKKFMQ | Image Collection

The Cancer Genome Atlas Lung Squamous Cell Carcinoma (TCGA-LUSC) data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA). Clinical, genetic, and pathological data resides in the Genomic...

[…] while the radiological data is stored on The Cancer Imaging […]

BRAIN-TR-GAMMAKNIFE

DOI: 10.7937/xb6d-py67 | Image Collection

Here we release a brain cancer MRI dataset with the companion Gamma Knife treatment planning and follow-up data for the purpose of tumor recurrence prediction. The dataset consists of 47 subjects. A total of 244 lesions were collected with annotations. The dataset contains original patient MRI images (in DICOM format), radiation therapy structure data (in DICOM and NRRD format), code, and clinical information. First,...

[…] of Industrial and Systems Engineers. https:// www.iise.org/Details.aspx?id=50000 Other Publications Using This […]

CBIS-DDSM

DOI: 10.7937/K9/TCIA.2016.7O02S9CY | Image Collection

This CBIS-DDSM (Curated Breast Imaging Subset of DDSM) is an updated and standardized version of the Digital Database for Screening Mammography (DDSM).  The DDSM is a database of 2,620 scanned film mammography studies. It contains normal, benign, and malignant cases with verified pathology information. The scale of the database...

[…] detail is available at https:// www.nature.com/articles/sdata2017177. Published research results from […]

CT-ORG

DOI: 10.7937/tcia.2019.tt7f4v7o | Image Collection

This dataset consists of 140 computed tomography (CT) scans, each with five organs labeled in 3D: lung, bones, liver, kidneys and bladder. The brain is also labeled on the minority of scans which show it.

Patients were included based on the presence of lesions in one or more of the labeled organs. Most of the images exhibit liver lesions, both benign and malignant. Some also exhibit metastatic disease in other...

[…] were done with ITK-SNAP (https:// www.itksnap.org), starting with semi-automatic active […]