Enhanced Breast Cancer Diagnosis Using Multimodal Feature Fusion with Radiomics and Transfer Learning

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. 2025 Aug 28;15(17):2170. doi: 10.3390/diagnostics15172170

Algorithm 3 Radiomics feature extraction

Require:
Dataframe $f u l l_{m} a s s$ with columns: patient_id, image_file_path, ROI_mask_file_path, labels
Ensure:
Radiomics features DataFrame $f e a t u r e s_{d} f$
1:
$e x t r a c t o r \leftarrow featureextractor . RadiomicsFeatureExtractor ()$
2:
$e x t r a c t o r . e n a b l e F e a t u r e C l a s s B y N a m e (^{'} s h a p e 2 D^{'})$
3:
$f e a t u r e s_{l} i s t \leftarrow []$
4:
for each row in $f u l l_{m} a s s$ do
5:
$p a t i e n t_{i} d, i m a g e_{p} a t h, m a s k_{p} a t h, l e v e l \leftarrow row values$
6:
$i m a g e \leftarrow cv 2 . imread (i m a g e_{p} a t h, cv 2 . IMREAD_GRAYSCALE)$
7:
$m a s k \leftarrow cv 2 . imread (m a s k_{p} a t h, cv 2 . IMREAD_GRAYSCALE)$
8:
if $i m a g e . s h a p e \neq m a s k . s h a p e$ then
9:
$n e w_s i z e \leftarrow (i m a g e . s h a p e [1], i m a g e . s h a p e [0])$
10:
$m a s k \leftarrow cv 2 . resize (m a s k, n e w_s i z e, cv 2 . INTER_NEAREST)$
11:
$i m a g e_{s} i t k \leftarrow sitk . GetImageFromArray (i m a g e)$
12:
$m a s k_{s} i t k \leftarrow sitk . GetImageFromArray (m a s k)$
13:
$r e s u l t \leftarrow e x t r a c t o r . e x e c u t e (i m a g e_{s} i t k, m a s k_{s} i t k)$
14:
$f e a t u r e s_{l} i s t . a p p e n d (result,^{'} p a t i e n t_{i} d^{'} : p a t i e n t_{i} d,^{'} l a b e l s^{'} : l e v e l)$
15:
$f e a t u r e s_{d} f \leftarrow pd . DataFrame (f e a t u r e s_{l} i s t)$
16:
$features_df . to_csv (^{'} r a d i o m i c s_{f} e a t u r e s . c s v^{'}, index = False)$
17:
return $f e a t u r e s_{d} f$