{"id":111662,"date":"2026-10-05T08:48:22","date_gmt":"2026-10-05T06:48:22","guid":{"rendered":"https:\/\/formation.access-it.fr\/?post_type=formation&#038;p=111662"},"modified":"2026-10-05T08:48:22","modified_gmt":"2026-10-05T06:48:22","slug":"nvidia-training-course-medical-ai-development-with-monai-interactive-annotation-using-nvidia-nim-microservices","status":"publish","type":"formation","link":"https:\/\/formation.access-it.fr\/en\/formation\/nvidia-training-course-medical-ai-development-with-monai-interactive-annotation-using-nvidia-nim-microservices\/","title":{"rendered":"Nvidia Training Course : Medical AI Development with MONAI: Interactive Annotation Using NVIDIA NIM Microservices"},"content":{"rendered":"<p>Learn to build end-to-end medical AI workflows using MONAI core, MONAI Label and VISTA-3D NIM. Learn to combine AI-assisted annotation, interactive segmentation to create powerful medical imaging applications. We&#8217;ll cover radiology, pathology, and endoscopy video-like use cases. For each use case, you&#8217;ll utilize different viewers, such as 3D Slicer, OHIF, and XNAT for radiology; QuPath and imageJ with impartial for pathology; and Cvat for endoscopy. By the end of this lab you would have gained a practical experience with these tools while understanding how they complement each other in real-world scenarios.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn to build end-to-end medical AI workflows using MONAI core, MONAI Label and VISTA-3D NIM. Learn to combine AI-assisted annotation, interactive segmentation to create powerful medical imaging applications. We&#8217;ll cover radiology, pathology, and endoscopy video-like use cases. For each use case, you&#8217;ll utilize different viewers, such as 3D Slicer, OHIF, and XNAT for radiology; QuPath [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","formation-categorie":[271,273],"formation-format":[],"bon-a-savoir":[266,267,268,269],"class_list":["post-111662","formation","type-formation","status-publish","hentry","formation-categorie-artificial-intelligence-training","formation-categorie-ai-agents-automation","bon-a-savoir-level-test","bon-a-savoir-our-services","bon-a-savoir-practical-exercises","bon-a-savoir-guaranteed-sessions"],"acf":{"objectif_formation":"<div>In this course you will learn:<\/div><div>About project MONAI<\/div><div>About SDKs of MONAI: MONAI core, MONAI label, MONAI deploy, Model Zoo<\/div><div>How you can to participate in MONAI open-source projects through different working groups or through open-source contributions<\/div><div>How to use MONAI Label for annotation workflows<\/div><div>How to build your own MONAI Label application<\/div><div>About VISTA-3D NIM and how to integrate it with medical workflows such as MONAI Label<\/div><div>How MONAI Label integrates with multiple open-source viewers (3D Slicer, OHIF, XNAT-OHIF, QuPath and imagJ with impartial and CVAT)<\/div><div><\/div>","certification_fomations":"","pre-requis_fomations":"Basic Python understanding and basic ML understanding.","public_fomations":"IT professionals","duree_fomations":0.5,"tarif":"750","reference_formation":"smnmaid","cours_associes_formation":[],"formation_inscription_cpf":"","eligible_cpf_formation":false,"good_to_know_items":null,"fiche_pdf_formation":111663,"module_de_formation":[{"titre":"Course Outline","descriptif":"Introduction to project MONAI<div>Walk-through of multiple notebooks showing MONAI core: Basic training, Auto3dseg, performance acceleration MONAI label integration with 3d Slicer.<\/div><div>Creating your own app<\/div><div>MONAI label integration with OHIF viewer show casing pushing dicom data to Orthanc<\/div><div>MONAI label integration with XNAT through interactive annotation<\/div><div>MONAI label integration with XNAT for a deployment workflow<\/div><div>MONAI label integration with VISTA-3D NIM (Nvidia Inference Microservice)<\/div><div>MONAI label integration with QuPath for pathology annotation<\/div><div>MONAI label integration with impartial using imageJ for pathology annotation<\/div><div>MONAI label integration with CVAT for video annotation<\/div><div>Evaluation<\/div><div>Feedback<\/div>"}],"code_certifinfo":"","random_session_dates":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Nvidia Training Course : Medical AI Development with MONAI: Interactive Annotation Using NVIDIA NIM Microservices - Formations Access it<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/formation.access-it.fr\/en\/formation\/nvidia-training-course-medical-ai-development-with-monai-interactive-annotation-using-nvidia-nim-microservices\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nvidia Training Course : Medical AI Development with MONAI: Interactive Annotation Using NVIDIA NIM Microservices - Formations Access it\" \/>\n<meta property=\"og:description\" content=\"Learn to build end-to-end medical AI workflows using MONAI core, MONAI Label and VISTA-3D NIM. 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