I saw multi-class example in 'example dir', but I don't know this example will work well in the case of multi-label segmentation.
multi-label segmentation means that segmenting image that have pixels can have multi-label
for example, [cancer, lesion, suspicious] = [1,0,1]. two true label is in one pixel.
I saw multi-class example in 'example dir', but I don't know this example will work well in the case of multi-label segmentation.
multi-label segmentation means that segmenting image that have pixels can have multi-label for example, [cancer, lesion, suspicious] = [1,0,1]. two true label is in one pixel.
which parts do I modify to train this case?