Cancer Location: Skin
1. Source: The Cancer Imaging Archive (TCIA) Public Access*
- This collection contains subjects from the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium Cutaneous Melanoma (CPTAC-CM) cohort.
- Collection Statistics
Radiology Image Statistics Pathology Image Statistics
Modalities: CT, MR, CR Pathology
Number of Patients: 3 73
Number of Studies: 19 N/A
Number of Series: 99 N/A
Number of Images: 6,679 309
Images Size (GB): 4.1 80.5
To access this image database, you can click here
*The Cancer Imaging Archive is a freely accessible repository containing medical images and supporting data from cancer patients. Images are stored in DICOM file format. The images are organized as “Collections”, typically patients related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Search functionality allows users to query across Collections or within them to filter out only the data they are most interested in.
- Collaboration (ISIC): Melanoma Project is an academia and industry partnership designed to facilitate the application of digital skin imaging to help reduce melanoma mortality, improving melanoma diagnosis. When recognized and treated in its earliest stages, melanoma is readily curable.
ISIC is sponsored by the International Society for Digital Imaging of the Skin (ISDIS). The ISIC Archive contains the largest publicly available collection of quality controlled dermoscopic images of skin lesions. Presently, the ISIC Archive contains over 13,000 dermoscopic images, which were collected from leading clinical centers internationally and acquired from a variety of devices within each center. Broad and international participation in image contribution is designed to insure a representative clinically relevant sample.
All incoming images to the ISIC Archive are screened for both privacy and quality assurance. Most images have associated clinical metadata, which has been vetted by recognized melanoma experts. A subset of the images have undergone annotation and markup by recognized skin cancer experts. These markups include dermoscopic features (i.e., global and focal morphologic elements in the image known to discriminate between types of skin lesions).
To access the full image database, you can click here