Medical Imaging Toolbox
Medical Imaging Toolbox™ provides apps, functions, and workflows for designing and testing diagnostic imaging applications. You can perform 3D rendering and visualization, multimodal registration, and segmentation and labeling of radiology images. The toolbox also lets you train predefined deep learning networks (with Deep Learning Toolbox™).
You can import, preprocess, and analyze radiology images from various imaging modalities, including projected X-ray imaging, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), and nuclear medicine (PET, SPECT). The Medical Image Labeler app lets you semi-automate 2D and 3D labeling for use in AI workflows. You can perform multimodal registration of medical images, including 2D images, 3D surfaces, and 3D volumes. The toolbox provides an integrated environment for end-to-end computer-aided diagnosis and medical image analysis.
Learn the basics of Medical Imaging Toolbox
Read images and spatial metadata from medical imaging file formats
2-D and 3-D medical image display, 3-D surface generation, and volume rendering
3-D registration and denoising, random intensity augmentation
Interactive medical image labeling for semantic segmentation workflows
Medical image segmentation using deep learning, labeling app, or image processing algorithms, and radiomics analysis
Segment microscopy images using Medical Imaging Toolbox Interface for Cellpose Library