Index

B

binarize_mask() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) body() (radio.models.DilatedNoduleNet class method)

bottleneck_block() (radio.models.Keras3DUNet method) build_config() (radio.models.DilatedNoduleNet method) (radio.models.Keras3DUNet method)

C

calc_lung_mask() (radio.CTImagesBatch method) central_block() (radio.models.DilatedNoduleNet class method) central_crop() (radio.CTImagesBatch method) (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) classification_targets() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) combine_crops() (in module radio.pipelines.pipelines) compile() (radio.models.Keras3DUNet method) components (CTImagesBatch attribute) (radio.CTImagesBatch attribute) (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch attribute), [1]

concat() (radio.CTImagesBatch class method) config (KerasNoduleVGG attribute) (KerasResNoduleNet attribute) conv_block() (radio.models.KerasResNoduleNet method) create_mask() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) CTImagesBatch (class in radio) CTImagesMaskedBatch (class in radio.preprocessing.ct_masked_batch)

D

decoder_block() (radio.models.DilatedNoduleNet class method) default_config() (radio.models.DenseNoduleNet class method) (radio.models.DilatedNoduleNet class method) (radio.models.ResNodule3DNet50 class method) DenseNoduleNet (class in radio.models)

dice_loss() (in module radio.models.keras.losses) dilated_branches() (radio.models.DilatedNoduleNet class method) DilatedNoduleNet (class in radio.models) dropout_rate (KerasNoduleVGG attribute) (KerasResNoduleNet attribute) dump() (radio.CTImagesBatch method)

E

encoder_block() (radio.models.DilatedNoduleNet class method)

F

fetch_mask() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) fetch_nodules_from_mask() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method)

fetch_nodules_info() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) flip() (radio.CTImagesBatch method) (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method)

G

get_axial_slice() (radio.CTImagesBatch method) (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) get_crops() (in module radio.pipelines.pipelines)

get_nodules_numba (in module radio.preprocessing.ct_masked_batch) get_patches() (radio.CTImagesBatch method) get_pos() (radio.CTImagesBatch method) (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method)

H

head() (radio.models.DilatedNoduleNet class method)

I

identity_block() (radio.models.KerasResNoduleNet method) images (CTImagesBatch attribute) (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch attribute)

images_shape (radio.CTImagesBatch attribute) index (CTImagesBatch attribute) iou_3d() (in module radio.models.tf.losses)

J

jaccard_coef_logloss() (in module radio.models.keras.losses) (in module radio.models.tf.losses)

K

Keras3DUNet (class in radio.models)

KerasNoduleVGG (class in radio.models) KerasResNoduleNet (class in radio.models)

L

load() (radio.CTImagesBatch method)

load_from_patches() (radio.CTImagesBatch method) lower_bounds (radio.CTImagesBatch attribute)

M

make_data_keras() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch static method) make_data_tf() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch static method) make_indices() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch static method)

make_xip() (radio.CTImagesBatch method) (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) masks (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch attribute) merge() (radio.CTImagesBatch class method)

N

name (KerasNoduleVGG attribute) (KerasResNoduleNet attribute) nodules (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch attribute) nodules_dtype (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch attribute)

nodules_to_df() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) normalize_hu() (radio.CTImagesBatch method) num_nodules (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch attribute), [1] num_targets (KerasNoduleVGG attribute) (KerasResNoduleNet attribute)

O

origin (CTImagesBatch attribute)

P

predict_on_scan() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method)

R

radio.pipelines.pipelines (module) radio.preprocessing.ct_masked_batch (module) reduction_block() (radio.models.Keras3DUNet method) reduction_block_I() (radio.models.KerasNoduleVGG method) reduction_block_II() (radio.models.KerasNoduleVGG method)

reg_l2_loss() (in module radio.models.tf.losses) regression_targets() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) rescale() (radio.CTImagesBatch method) resize() (radio.CTImagesBatch method) ResNodule3DNet50 (class in radio.models) rotate() (radio.CTImagesBatch method)

S

sample_dump() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) sample_nodules() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) sample_random_nodules() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) segment() (radio.CTImagesBatch method)

segmentation_targets() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) slice_shape (radio.CTImagesBatch attribute) spacing (CTImagesBatch attribute) split() (radio.CTImagesBatch class method) split_dump() (in module radio.pipelines.pipelines)

T

tversky_loss() (in module radio.models.keras.losses) (in module radio.models.tf.losses)

U

unify_spacing() (radio.CTImagesBatch method) units (KerasNoduleVGG attribute) (KerasResNoduleNet attribute) unpack() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method)

update_histo() (in module radio.pipelines.pipelines) update_nodules_histo() (radio.preprocessing.ct_masked_batch.CTImagesMaskedBatch method) upper_bounds (radio.CTImagesBatch attribute) upsampling_block() (radio.models.Keras3DUNet method)