medpy.metric.binary.dc¶

medpy.metric.binary.
dc
(result, reference)[source]¶ Dice coefficient
Computes the Dice coefficient (also known as Sorensen index) between the binary objects in two images.
The metric is defined as
\[DC=\frac{2A\cap B}{A+B}\], where \(A\) is the first and \(B\) the second set of samples (here: binary objects).
Parameters: result : array_like
Input data containing objects. Can be any type but will be converted into binary: background where 0, object everywhere else.
reference : array_like
Input data containing objects. Can be any type but will be converted into binary: background where 0, object everywhere else.
Returns: dc : float
The Dice coefficient between the object(s) in
`result`
and the object(s) in`reference`
. It ranges from 0 (no overlap) to 1 (perfect overlap).Notes
This is a real metric. The binary images can therefore be supplied in any order.