Table 7 Training data overview.

From: Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning

Algorithm training data

Groin/thigh area model training

Knee area model training

Acquired data

Subjects

245

163

255

Number of compression sequences

1076

616

1500

Annotated scan sequences

   

Background/no anatomical landmark or compression

169

169

169

LM0—external iliac vein

10

10

Start of groin area after the inguinal ligament

   

LM1—Greater saphenous vein + common femoral vein at saphenofemoral junction

215

215

LM2—common femoral vein and artery

51

51

LM3—common femoral vein and superficial and deep femoral arteries

294

294

LM4—superficial and deep femoral veins and arteries

141

141

End of groin area and beginning of thigh area at entrance to adductor canal

   

LM5—proximal thigh with superficial vein clearly visible with deep femoral vein clearly separated in deep tissue

123

123

LM6—mid thigh with superficial femoral vein and artery in the adductor canal

288

288

LM7—distal thigh, same anatomy as LM6

2

2

End of thigh area and beginning of knee area

   

LM8—proximal popliteal area, with popliteal vein and artery

130

130

LM9—middle popliteal area, with tibial-fibular trunk and popliteal artery

141

141

LM10—distal popliteal area, with anterior and posterior tibial and fibular veins and popliteal artery

186

186

Total number of manually annotated images

111,546

88,823

167,145

  1. Subjects may contain more than one landmark; thus, subject IDs may be present in the training and internal validation set. Individual sequences are either in one or the other set. Landmarks used for the groin model in this study are LM0–LM4 and those for the knee area are LM8–LM10.