Skip to content

Latest commit

 

History

History
34 lines (22 loc) · 656 Bytes

README.md

File metadata and controls

34 lines (22 loc) · 656 Bytes

FeTa_challenge_2024: Biometry Mesurements

Teaser of the challenge

How to use

Training

TO DO To train the model run:

python train.py --run_name MODEL_NAME [--gaussian_heads H] [--sigma SIGMA_1 ... SIGMA_H] [--learn_sigma] [--noise NOISE_LEVEL] [--noise_p P]

The algorithm presented to address the Fetal Tissue Annotation and Segmentation MICCAI 2024 Challenge: Biometry Task

Testing

TO DO

python test.py --run_name MODEL_NAME

Different dataset

python test.py --run_name MODEL_NAME --dataset DATASET_NAME

DOI: TO DO PDF: TO DO

Applications: