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Configuration

YAML values always override CLI defaults (args.__dict__.update(config)). To override a YAML value, edit the YAML file or omit the key so the CLI default is used.

python run_pirads.py --mode train --config config/config_pirads_train.yaml

PI-RADS Training Parameters

Parameter Default Description
mode train or test (required)
config Path to YAML config file
data_root Root folder of T2W images
dataset_json Path to dataset JSON file. Format should be as specified in Getting Started
num_classes 4 Number of output classes (PI-RADS 2–5)
mil_mode att_trans MIL algorithm (mean, max, att, att_trans, att_trans_pyramid)
tile_count 24 Number of patches per scan
tile_size 64 Patch spatial size in pixels
depth 3 Number of slices per patch
use_heatmap True Enable heatmap-guided patch sampling
workers 2 DataLoader workers
checkpoint None Path to resume from checkpoint
epochs 50 Max training epochs
early_stop 40 Epochs without improvement before stopping
batch_size 4 Scans per batch
optim_lr 3e-5 Base learning rate
weight_decay 0 Optimizer weight decay
amp False Enable automatic mixed precision
val_every 1 Validation frequency (epochs)
wandb False Enable Weights & Biases logging
project_name Classification_prostate W&B project name
run_name train_pirads Run name for logging. If using SLURM, takes SLURM JOB_ID

csPCa Training Parameters

Parameter Default Description
mode train or test (required)
config Path to YAML config file
data_root Root folder of images
dataset_json Path to dataset JSON file
checkpoint_pirads Path to pre-trained PI-RADS model (required for train)
checkpoint_cspca Path to csPCa checkpoint (required for test)
epochs 30 Max training epochs
batch_size 32 Scans per batch
optim_lr 2e-4 Learning rate
num_seeds 20 Number of random seeds for CI

Shared parameters (num_classes, mil_mode, tile_count, tile_size, depth, use_heatmap, workers, val_every) have the same defaults as PI-RADS.

Preprocessing Parameters

Parameter Default Description
config Path to YAML config file
steps Steps to execute (required, one or more)
t2_dir Directory of T2W images
dwi_dir Directory of DWI images
adc_dir Directory of ADC images
seg_dir Directory of segmentation masks
output_dir Output directory
margin 0.2 Center-crop margin fraction

Example YAML

data_root: /path/to/registered/t2_hist_matched
dataset_json: /path/to/PI-RADS_data.json
num_classes: 4
mil_mode: att_trans
tile_count: 24
tile_size: 64
depth: 3
use_heatmap: true
workers: 4
epochs: 100
batch_size: 8
optim_lr: 2e-4
weight_decay: 1e-5
amp: true
wandb: true
data_root: /path/to/registered/t2_hist_matched
dataset_json: /path/to/csPCa_data.json
num_classes: 4
mil_mode: att_trans
tile_count: 24
tile_size: 64
depth: 3
use_heatmap: true
workers: 6
checkpoint_pirads: /path/to/models/pirads.pt
epochs: 80
batch_size: 8
optim_lr: 2e-4
t2_dir: /path/to/raw/t2
dwi_dir: /path/to/raw/dwi
adc_dir: /path/to/raw/adc
output_dir: /path/to/processed