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I'd like to reproduce results on my own liver CT images using python. My images are similar to those in your paper like that:
However, your documentation about how to use python API is not sufficient. What parameters should I provide to the totalsegmentator(input_img). I examined the following function but there are too much parameters. Can you explain the related ones for my task.
I'd like to reproduce results on my own liver CT images using python. My images are similar to those in your paper like that:
However, your documentation about how to use python API is not sufficient. What parameters should I provide to the totalsegmentator(input_img). I examined the following function but there are too much parameters. Can you explain the related ones for my task.
def totalsegmentator(input: Union[str, Path, Nifti1Image], output: Union[str, Path, None]=None, ml=False, nr_thr_resamp=1, nr_thr_saving=6,
fast=False, nora_tag="None", preview=False, task="total", roi_subset=None,
statistics=False, radiomics=False, crop_path=None, body_seg=False,
force_split=False, output_type="nifti", quiet=False, verbose=False, test=0,
skip_saving=False, device="gpu", license_number=None,
statistics_exclude_masks_at_border=True, no_derived_masks=False,
v1_order=False, fastest=False, roi_subset_robust=None, stats_aggregation="mean",
remove_small_blobs=False):
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