CT abdomen dataset

Dataset Description    

Abdominal CT Dataset  was developed on the basis of long-lasting partnerships with global medical entities, and data optimization by the experts in the field. All Medical Data Cloud data have been de-identified in accordance with regulatory standards.  


Annotation and Customization 

Medical Data Cloud has an extensive expertise in medical data annotation and can accurately, quickly and cost-effectively annotate this and other datasets to the customer’s requirements for Deep Learning Artificial Intelligence projects. 



Method: Typically via secure server and flexible 

Frequency: as needed by the customer and depending on the desired volume availability  



DICOM, json


About the provider   

Medical Data Cloud is developing and commercializing high quality, custom Medical, Radiological and Surgical datasets, including video and imaging datasets, for ML/AI projects in Medtech and Healthcare. The company has the technological infrastructure and expertise to efficiently collect, verify and index medical data from various data sources and formats. The company’s experts in data science, artificial intelligence and medical domains specialize in creating high quality, custom datasets to the customer specifications. Medical Data Cloud has one the largest independent medical imaging databases and data networks globally with access to radiological tests (CT, MRI, PET/CT scan, Ultrasound, other), pathology and cytology tests, as well as laparoscopic, endoscopic and other procedural videos. Further, the company has extensive expertise in highly accurate, fast and cost-effective annotation of complex medical images, video, and other medical data for AI projects. Medical Data Cloud has a first-class quality control system and works with certified medical, radiological and surgical experts to deliver the required results. This allows Medical Data Cloud to provide for its customers one stop solution for all their dataset needs. The company serves large and medium enterprises, and medical technology start-ups. 


Computed tomography as a diagnostic method is applied to clinical medicine with several purposes:

  1. Obtaining detailed information about the morphological structure of the liver, gallbladder, bile ducts, identifying diffuse lesions and focal formations of these organs.
  2. Control over the accuracy of needle insertion during liver biopsy.
  3. Detection of changes in the surrounding organs to clarify the nature of the pathological process in the liver: gallstones, liver cancer metastases in the vertebral bodies, etc.

CT is used to diagnose the following diseases:

  • tumors;
  • injuries and wounds of the liver;
  • bleeding;
  • abscesses;
  • thrombosis of large vessels of the liver;
  • cysts;
  • cirrhosis and its complications;

Infectious diseases that primarily affect the liver, such as viral hepatitis.

The information content of CT is much higher than that of ultrasound or X-ray examination of the abdominal cavity. This is largely determined by the possibility of additional use of a contrast agent. According to the rate of accumulation and excretion of the radiopaque substance according to CT data, it is possible to assess the nature of blood flow in pathological foci, to conduct differential diagnosis of neoplasms without invasive diagnostic tests.

Age group: 18 and older
Gender: All inclusive
Data type: CT
Format: DICOM, json
Organ: Abdomen

Medical Data Cloud is a leading Medical Data Marketplace for AI projects, which provides large, medium and small enterprises with an unparalleled access to extensive amount and variety of Medical Data.

Our customers In Radiology, Cardiology, Robotic Surgery, Telemedicine, and other healthcare areas need and use large amount of quality imaging and other medical data, which we deliver.

Medical Data Cloud actively invests in the on-going data security and privacy. The company works with the best on the market cybersecurity firms and data protection tools.

We understand that success of our customer’s ML/AI projects depends on the availability of right datasets. We, therefore, work tirelessly to deliver the right datasets for your ML/AI needs on time and budget to become your reliable data partner.