def __init__(self, dataframe, sequences, transform=None):
Dataset.__init__(self)
NiftiDataset.__init__(self)
self.df = dataframe
self.sequences = sequences
self.patients = self.df.index.values
self.transform = transform
def __init__(self,
df=None,
brainmask=True,
segmentation=True,
sequences=('t1', 'flair', 't2', 't1Gd')):
NiftiDataset.__init__(self)
if df is not None:
self.df = df
self.brainmask = brainmask
self.segmentation = segmentation
self.sequences = sequences
def __init__(self, dataframe, sequences, transform=None, preprocess_config=None):
Dataset.__init__(self)
NiftiDataset.__init__(self)
self.df = dataframe
self.sequences = sequences
self.patients = self.df.index.values
print(self.df['seg'][0])
print(self.df['seg'][1])
print(self.df['seg'][2])
self.transform = transform
self.config_file = preprocess_config
def __init__(self,
dataframe,
sequences,
transform=None,
brainmask=True,
segmentation=True):
Dataset.__init__(self)
NiftiDataset.__init__(self)
self.brainmask = brainmask
self.df = dataframe
self.sequences = sequences
self.patients = self.df.index.values
self.transform = transform
self.segmentation = segmentation
def __init__(self, image_paths, brainmask_path=None, transform=None):
NiftiDataset.__init__(self)
self.image_paths = image_paths
self.brainmask_path = brainmask_path
self.transform = transform
def __init__(self, df=None):
NiftiDataset.__init__(self)
if df is not None:
self.df = df
def __init__(self, df=None, sequences=('t1', 'flair', 't2', 't1Gd')):
NiftiDataset.__init__(self)
if df is not None:
self.df = df
self.sequences = sequences