An Innovative Faster R-CNN-Based Framework for Breast Cancer Detection in MRI

. 2023 Aug 23;9(9):169. doi: 10.3390/jimaging9090169

Algorithm 2 Pseudo-code: Based on the total number of slices, this algorithm calculates the number of slices to remove from each end of the slices with tumor range. When the total number of slices to remove is an odd number, we round down (floor) the number of slices to remove from the beginning of the range and round up (ceil) the number of slices to remove from the end of the range.

1:
function NumberOfSlicesToRemoveFromEachSide(

$t o t a l_n u m b e r_o f_s l i c e s_w i t h_t u m o r$ , $t o t a l_n u m b e r_o f_s l i c e s$

)
2:
3:
Integer $n u m b e r_o f_s l i c e s_t o_r e m o v e : = C a l c N u m O f S l i c e s T o R e m o v e ($

$t o t a l_n u m b e r_o f_s l i c e s_w i t h_t u m o r$ , $t o t a l_n u m b e r_o f_s l i c e s$

)
4:
5:
Real $n u m b e r_o f_s l i c e s_t o_r e m o v e_o n_e a c h_s i d e : = n u m_o f_s l i c e s_t o_r e m o v e / 2$
6:
7:
return (Tuple<Integer, Integer>) (

$f l o o r (n u m b e r_o f_s l i c e s_t o_r e m o v e_o n_e a c h_s i d e)$ ,

$c e i l (n u m b e r_o f_s l i c e s_t o_r e m o v e_o n_e a c h_s i d e)$

)
8:
end function