// Post-process: largest connected component = piriformis const cleanedMask = connectedComponents(mask);
// Preprocess: normalize, resize to 256x256 per slice const inputTensor = preprocessVolume(imageVolume); piriform
// Inference const mask = model.predict(inputTensor); // Preprocess: normalize
I understand you're asking to develop a feature related to — which typically refers to pear-shaped structures, most commonly the piriformis muscle (in anatomy) or a piriform aperture (in skull anatomy). Since the request is brief, I’ll assume you want a software feature (e.g., for a medical imaging, anatomy education, or 3D modeling tool) that identifies, highlights, or analyzes piriform anatomy. // Inference const mask = model.predict(inputTensor)