# filter_list.fl 1. normalize_intensity 2. remove_skull 3. detect_lesions > output.json 4. compress_to_mha.gz "Without .fl ," she continued, "the pipe just moves data. With .fl , it understands data. It’s the recipe inside the robot chef."
Rohan smiled. "So piped.mha.fl isn't a bug. It’s a chain: Pipe for speed, MHA for the whole picture, Filter List for intelligence." piped.mha.fl
SUCCESS: Stream restored. 3D volume normalized, skull stripped, lesions mapped. Ready for surgical navigation. # filter_list
The 3D brain reappeared—this time overlaid with a blue path for the neurosurgeon’s robotic probe. output.json 4. compress_to_mha.gz "Without .fl
cat scan.mha | python filter_hemorrhage.py | tee clean.mha
piped.mha.fl --input patient_042.mha --filter protocol_v2.fl --output surgery_ready.mha