Agenda
Medical imaging involves multiple sources such as MRI, CT, X-ray, ultrasound, and PET/SPECT. Engineers and scientists must visualize and analyze multidomain image data to extract clinically meaningful information. In this webinar, explore tools and algorithms that MATLAB® provides to support end-to-end medical imaging analysis and AI workflows, such as I/O, 3D visualization, segmentation, labeling, and analysis of medical image data. Learn how to import, visualize, preprocess, register, segment, and label medical image data, and train and use AI models on the data.
Highlights
In this webinar, you will learn through demonstrations how to:
Access and visualize medical images in the Medical Image Labeler
- Interactively segment lung tissue
- Create a machine learning model to characterize tissue
- Explore segmenting with the MONAI Label platform
Extract and characterize regions of interest
- Create DICOM volumes
- Use radiomics features to classify tumors as benign or cancerous
Process (huge) whole-slide images
- Block-process arbitrarily large data
- Use a pretrained deep learning model (Cellpose) to segment cells
