Challenge participants are invited to submit their responses to one or both of the respective data challenges in Kaggle, and submit a paper in the AI4DVT workshop in BIOSTEC conference (https://biostec.scitevents.org/AI4DVT.aspx).

BIOSTEC Important Dates:   
Paper submission: 8 January 2026.  
Author notification: 14 January 2026.  
Conference registration: 22 January 2026.  

Top 3-scoring submissions that will also submit a paper with their findings and methodology will be awarded a prize:    
**1st Place: 1500€**    
**2nd Place: 1000€**       
**3rd Place: 500€**

The dataset consists of **compression ultrasound video scannings** of lower limbs collected during a multi-center cohort study in European Hospitals (Greece, France, Italy and Lithuania ([https://clinicaltrials.gov/study/NCT06989255](https://clinicaltrials.gov/study/NCT06989255)). Patients suspected of DVT are scanned using conventional ultrasound machines, after they had given informed consent form, according to a dedicated scanning protocol. All hospitals have been granted ethics approvals from their respective local ethics committees, prior enrollment and data collection.   

The first anatomical site refers near the inguinal ligament, where the common femoral vein (CFV) and the common femoral artery (CFA) are visualized. The second compression video is recorded a few centimeters distally, where the great saphenous vein is visible, branching off of the common femoral vein (CFV). The third compression video is acquired in the middle of the thigh, where the femoral vein is visible. The video from the fourth anatomical site is recorded below the knee, where compression of the popliteal vein (PV) is recorded. Videos were collected from the left (L), right (R) or both limbs, based on clinical symptoms.   

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F7621325%2F37cdbaeec06e55eedaae3fcc5bf78064%2FPicture%201.svg?generation=1763636802684529&alt=media)    
Figure: The four anatomical sites of the right limb where ultrasound compression videos were recorded. Ultrasound probe (red rectangle) was positioned perpendicular to the respective veins and used for compression. CFV: common femoral vein, GSV: great saphenous vein, FV: femoral vein, Pop: popliteal vein.   

All videos have been anonymized prior uploading to the eCRF platform using an open-source software. All personal-related DICOM attributes were removed, videos were cropped to desired dimensions, and finally, for each DICOM file, a filename-based tag were added, for representing the anatomical site (CFV, GS, FV, PV) visualized and the laterality of the limb (L, R).   

All DICOM files and a structure report filled by the medical expert were stored in the eCRF platform, per patient. The structure report is based on the compression interpretation and diagnosis made by the medical expert for each available video recording. In the structure report medical experts rate the compressibility of the visualized veins (as No (0), Partial (1), Yes (2)) and the presence of thrombosis (as Yes (1) or No (0)). Consequently, the provided dataset for the Data Challenge is created by combining the filename-based tags with the structured report which assesses the compressibility and the presence of thrombosis. This information will serve as ground truth annotations of the compression ultrasound recordings to train artificial intelligence and machine learning models.   

The Data Challenge focuses on clinically relevant task based on compression ultrasound recordings:   
**Identify the anatomical site**(CFV, GS, FV, PV).