Table 2 Quantitative results for the landmark detection task of the used models.

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

 

Background, no landmark

LM0-LM1 consolidated

LM2-LM3-LM4-LM5 consolidated

LM6-LM7 consolidated

LM8-LM9-LM10 consolidated

Groin and thigh model

(0.95, 0.96)

(0.74, 0.82)

(0.66, 0.70)

(0.67, 0.73)

..

Knee model

(0.93, 0.94)

..

..

..

(0.72, 0.78)

  1. Evaluation according to Eq. (5) on the internal validation set.
  2. (, ) is the 95% confidence interval range.
  3. Model after 50 training epochs.