Get adequate data volume, annotation, truth, and reusability of the MRI datasets. With data elements, metadata, and an identifier for each medical imaging data object.
Accurate and reproducible datasets as close to providing ground truth as possible.
Findable, Accessible, Interoperable, and Reusable CT datasets described and labeled according to your demand.
Preparing datasets from your raw data. The classification labels of each imaging examination would be accurately prepared under the guidance of radiologists and data scientists.
We are collecting medical imagery data from government and private hospitals, processing it, and providing datasets for scientific researches, commercial developments, etc.
All our Datasets
⦁ Built by F.A.I.R. principles
⦁ Properly de-identified
⦁ Manually processed by humans
⦁ Reviewed by radiologists
⦁ Labeled according to your requirements
We have deployed a network to collect CT scan data from a variety of medical institutions. Based on this data, we create medical datasets specifically for the tasks of artificial intelligence researchers, as well as medical institutions. Our team specializes in medical research with the use of images marked by practicing radiologists which leads to incredible labeling quality. We set ourselves a task to build the finest and precisely organized medical datasets.
All our Datasets meet the following requirements:
⦁ Images could be processed in any format from DICOM to JPG
⦁ Images could be downsampled according to your demand 256×256 px usually
⦁ Images could be labeled in different ways to answer your specific questions
⦁ Images will contain relevant metadata
X-ray images acquisited from Eastern European clinics and processed according to your needs.
Data may be close to its raw form or transformed into the anonymized dataset. On your demand, X-ray image datasets will be processed to include a relevant subset of rows, columns, chosen metrics, and a variety of other options.