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"""
This file contains the masks used in the datasets. The masks are defined as mask dataclasses.
Each mask has the following attributes:
- id: int - the id of the mask
- radlex_name: str - the name of the mask in RadLex
- color: int - the color of the mask
- radlex_id: str - the id of the mask in RadLex
- source_names: dict - the names of the mask in other datasets, meant to be helpful when translating new source dataset masks to UMIE.
"""
from dataclasses import dataclass, field
from typing import Optional
@dataclass
class Mask:
"""This class represents a mask."""
id: int # The unique id of the mask in UMIE (also the value of the mask in the mask image)
radlex_name: str # The name of the mask in RadLex
color: int # The color of the mask in the mask image
radlex_id: str # The id of the mask in RadLex
source_names: Optional[dict] = field(
default_factory=dict
) # How the mask is named in other datasets, key - dataset name, value - source mask name in this dataset
Background = Mask(
id=0, radlex_name="Background", color=0, radlex_id=""
) # Actually there is no radlex for backgroud ofc but "Normality descriptor" didnt fit either
Kidney = Mask(
id=1, radlex_name="Kidney", color=1, radlex_id="RID205", source_names={"kits23": ["kidney"], "ct_org": ["Kidney"]}
)
Neoplasm = Mask(
id=2,
radlex_name="Neoplasm",
color=2,
radlex_id="RID3957",
source_names={"kits23": ["kidney tumor"], "brain_tumor_progression": ["Brain tumor"], "lits": ["liver_tumor"]},
)
RenalCyst = Mask(id=3, radlex_name="RenalCyst", color=3, radlex_id="RID35811", source_names={"kits23": ["cyst"]})
ViralInfection = Mask(
id=4, radlex_name="ViralInfection", color=4, radlex_id="RID4687", source_names={"mos_med_data": ["CT-1"]}
)
Lung = Mask(
id=5,
radlex_name="Lung",
color=5,
radlex_id="RID1301",
source_names={
"ct_org": ["lungs"],
"chest_xray_masks_and_label": ["Lungs"],
"finding_and_measuring_lungs": ["lungs"],
},
)
BoneOrgan = Mask(id=6, radlex_name="BoneOrgan", color=6, radlex_id="RID13197", source_names={"ct_org": ["Bones"]})
Liver = Mask(id=7, radlex_name="Liver", color=7, radlex_id="RID58", source_names={"ct_org": ["liver"]})
UrinaryBladder = Mask(
id=8, radlex_name="UrinaryBladder", color=8, radlex_id="RID237", source_names={"ct_org": ["bladder"]}
)
Brain = Mask(id=9, radlex_name="Brain", color=9, radlex_id="RID6434", source_names={"ct_org": ["Brain"]})
Nodule = Mask(
id=10,
radlex_name="Nodule",
color=10,
radlex_id="RID3875",
source_names={"lidc_idri": ["Nodule>=3mm", "Nodule<3mm"]},
)
Lesion = Mask(
id=11, radlex_name="Lesion", color=11, radlex_id="RID38780", source_names={"lidc_idri": ["Non-nodule>=3mm"]}
) # That is not a nodule
CalciumScore = Mask(
id=12,
radlex_name="CalciumScore",
color=12,
radlex_id="RID28808",
source_names={"coca": ["coronary_artery_calcium"]},
)
Metastasis = Mask(
id=13,
radlex_name="Metastasis",
color=13,
radlex_id="RID5231",
source_names={"brain_met_share": ["brain_metastasis"]},
)
Hemorrhage = Mask(
id=14,
radlex_name="Hemorrhage",
color=14,
radlex_id="RID4700",
source_names={"brain_with_intracranial_hemorrhage": ["brain_hemorrhage"]},
)
all_masks = [obj for name, obj in globals().items() if isinstance(obj, Mask)]
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