Computer Vision News - October 2022

44 Developing for the Medical AI Project Lifecycle Auto3D Segmentation Auto3D is a low-code framework that allows data scientists and researchers of any skill level to train models that can quickly segment regions of interest in data from 3D imaging modalities like CT and MRI. Developers can start with as little as 1-5 lines of code, resulting in a highly accurate segmentation model. By focusing on accuracy and including state-of-the-art models like Swin UNETR, DiNTS, and SegResNet, data scientists and researchers can utilize the latest and greatest algorithms to help maximize their productivity. Auto3D Tutorial MONAI Model Zoo We’re excited to announce the MONAI Model Zoo , a hub for sharing pre-trained models that allow data scientists and clinical researchers to jump-start their AI development. In the first release, there are 15 pre-trained models from MONAI partners, including King’s College London, Charité University, University of Warwick, Vanderbilt University, and Mayo Clinic. Auto3D Segmentation Training and Inference workflow BEST OF MICCAI