Alternative Non-Destructive Approach for Estimating Morphometric Measurements of Chicken Eggs from Tomographic Images with Computer Vision

. 2024 Dec 14;13(24):4039. doi: 10.3390/foods13244039

Algorithm 1 Training Stage 1

Require:
$D$ , $m o d e l_{θ}$ ▹ Dataset
1:
for epoch in ${0, 1, \dots, E}$ do
2:
for all batch in $D$ do
3:
$e g g s \leftarrow b a t c h [0]$ ▹ 3D CT egg image
4:
$s e g_m a s k \leftarrow b a t c h [1]$ ▹ 3D CT Segmentation Mask
5:
$p r e d i c t e d_m a s k \leftarrow m o d e l_{θ} (e g g s)$ ▹ Makes a prediction
6:
$l o s s \leftarrow loss (s e g_m a s k s, p r e d i c t e d_m a s k)$
7:
model.backprop(loss)
8:
end for
9:
end for
10:
Output $m o d e l_{θ}$