Python transform_dsb_candidates示例

示例#1

文件： dsb_a_eliasy1_c3_s2_p8a1.py 项目： ericsolo/python

def data_prep_function(data, patch_centers, pixel_spacing, p_transform,
                       p_transform_augment, **kwargs):
    x = data_transforms.transform_dsb_candidates(data=data,
                                                 patch_centers=patch_centers,
                                                 p_transform=p_transform,
                                                 p_transform_augment=p_transform_augment,
                                                 pixel_spacing=pixel_spacing)
    x = data_transforms.pixelnormHU(x)
    return x

示例#2

def data_prep_function(data, patch_centers, pixel_spacing, p_transform,
                       p_transform_augment, **kwargs):
    x = data_transforms.transform_dsb_candidates(data=data,
                                                 patch_centers=patch_centers,
                                                 p_transform=p_transform,
                                                 p_transform_augment=p_transform_augment,
                                                 pixel_spacing=pixel_spacing)
    x = data_transforms.pixelnormHU(x)
    return x

示例#3

def data_prep_function(data, pid, patch_centers, pixel_spacing, p_transform,
                       p_transform_augment, **kwargs):
    x = data_transforms.transform_dsb_candidates(
        data=data,
        patch_centers=patch_centers,
        p_transform=p_transform,
        p_transform_augment=p_transform_augment,
        pixel_spacing=pixel_spacing)

    bins, original_borders = rescale_params_hist_eq[pid]

    x = data_transforms.apply_hist_eq_patch(x, bins, original_borders)
    x = data_transforms.hu2normHU(x)

    return x

示例#4

文件： dsb_a_eliasq2_mal2_s5_p8a1.py 项目： ericsolo/python

def data_prep_function(data, pid, patch_centers, pixel_spacing, p_transform,
                       p_transform_augment, **kwargs):
    x = data_transforms.transform_dsb_candidates(data=data,
                                                 patch_centers=patch_centers,
                                                 p_transform=p_transform,
                                                 p_transform_augment=p_transform_augment,
                                                 pixel_spacing=pixel_spacing)
    
    bins, original_borders = rescale_params_hist_eq[pid]

    x = data_transforms.apply_hist_eq_patch(x, bins, original_borders)
    x = data_transforms.hu2normHU(x)


    return x