MATLAB Medical Imaging Toolbox™ User's Guide

Getting Started
	Medical Imaging Toolbox Product Description
	Read, Process, and Write 3-D Medical Images
	Get Started with Medical Image Labeler
		Start New Labeling Session
		Load Image Data
		Create Label Definitions
		Label Image
		Export Labeling Results
		How Medical Image Labeler Manages Ground Truth Labels
	Medical Image Coordinate Systems
		Patient Coordinate System
		Intrinsic Coordinate System
	Introduction to Medical Imaging
		Common Medical Imaging Modalities
		Typical Workflow for Medical Image Analysis
Import, Export, and Spatial Referencing
	Read, Process, and View Ultrasound Data
Display and Volume Rendering
	Visualize 3-D Medical Image Data Using Medical Image Labeler
	Display 3-D Medical Image Data in Patient Coordinate System
	Display Labeled Medical Image Volume in Patient Coordinates
	Create STL Surface Model of Femur Bone for 3-D Printing
Image Preprocessing and Augmentation
	Medical Image Preprocessing
		Background Removal
		Denoising
		Resampling
		Registration
		Intensity Normalization
		Preprocessing in Advanced Workflows
	Medical Image Registration
		Scenarios for Medical Image Registration
		Functions for Medical Image Registration
	Register Multimodal Medical Image Volumes with Spatial Referencing
Medical Image Labeling
	Label 2-D Ultrasound Series Using Medical Image Labeler
	Label 3-D Medical Image Using Medical Image Labeler
	Collaborate on Multi-Labeler Medical Image Labeling Projects
		Create Label Definitions and Assign Data to Labelers (Project Manager)
		Label Data and Publish Labels for Review (Labeler)
		Inspect Labeled Images (Reviewer)
		Export Ground Truth Data and Send to Project Manager (Labeler)
		Collect, Merge, and Create Training Data (Project Manager)
Medical Image Segmentation
	Create Datastores for Medical Image Semantic Segmentation
		Medical Image Ground Truth Data
		Datastores for Semantic Segmentation
	Convert Ultrasound Image Series into Training Data for 2-D Semantic Segmentation Network
	Create Training Data for 3-D Medical Image Semantic Segmentation
	Segment Lungs from CT Scan Using Pretrained Neural Network
	Brain MRI Segmentation Using Pretrained 3-D U-Net Network
	Breast Tumor Segmentation from Ultrasound Using Deep Learning