MRI Segementation Problem

[YY2968218397]

thank you very mush!!!!!!!!!!!!!!!

issue1:
in amos2022 ct dataset, the opensource 3duxnet weight is good;
but it is bad in amos2022 mri dataset;
do the mri dataset weight is opensource?

issue2:
in amos2022 ct dataset, the code is ok, i get the train result as the paper;
but in amos2022 mri dataset,the code is bad,seem the "load_datasets_transforms.py)" is designed for ct,
when face amos2022 mri dataset, the code below should be what?

elif dataset == 'amos':
train_transforms = Compose(
[
LoadImaged(keys=["image", "label"]),
AddChanneld(keys=["image", "label"]),
Spacingd(keys=["image", "label"], pixdim=(
1.5, 1.5, 2.0), mode=("bilinear", "nearest")),
Orientationd(keys=["image", "label"], axcodes="RAS"),
ScaleIntensityRanged(
keys=["image"], a_min=-125, a_max=275,
b_min=0.0, b_max=1.0, clip=True,
),
CropForegroundd(keys=["image", "label"], source_key="image"),
RandCropByPosNegLabeld(
keys=["image", "label"],
label_key="label",
spatial_size=(96, 96, 96),
pos=1,
neg=1,
num_samples=crop_samples,
image_key="image",
image_threshold=0,
),
RandShiftIntensityd(
keys=["image"],
offsets=0.10,
prob=0.50,
),
RandAffined(
keys=['image', 'label'],
mode=('bilinear', 'nearest'),
prob=1.0, spatial_size=(96, 96, 96),
rotate_range=(0, 0, np.pi / 30),
scale_range=(0.1, 0.1, 0.1)),
ToTensord(keys=["image", "label"]),
]
)

    val_transforms = Compose(
        [
            LoadImaged(keys=["image", "label"]),
            AddChanneld(keys=["image", "label"]),
            Spacingd(keys=["image", "label"], pixdim=(
                1.5, 1.5, 2.0), mode=("bilinear", "nearest")),
            Orientationd(keys=["image", "label"], axcodes="RAS"),
            ScaleIntensityRanged(
                keys=["image"], a_min=-125, a_max=275,
                b_min=0.0, b_max=1.0, clip=True,
            ),
            CropForegroundd(keys=["image", "label"], source_key="image"),
            ToTensord(keys=["image", "label"]),
        ]
    )

    test_transforms = Compose(
        [
            LoadImaged(keys=["image"]),
            AddChanneld(keys=["image"]),
            Spacingd(keys=["image"], pixdim=(
                1.5, 1.5, 2.0), mode=("bilinear")),
            Orientationd(keys=["image"], axcodes="RAS"),
            ScaleIntensityRanged(
                keys=["image"], a_min=-125, a_max=275,
                b_min=0.0, b_max=1.0, clip=True,
            ),
            CropForegroundd(keys=["image"], source_key="image"),
            ToTensord(keys=["image"]),
        ]
    )