The dataset for this challenge was created on the MD.ai platform in collaboration with the
Society for Imaging Informatics in Medicine (SIIM), the Society of Thoracic Radiology (STR),
the American College of Radiology (ACR), and Kaggle.
Create high-quality labelled training and validation datasets
Sample Public Datasets
The Cancer Genome Atlas - Lung Adenocarcinomapublic
From The Cancer Imaging Archive (TCIA): the Cancer Genome Atlas Lung Adenocarcinoma data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA). Clinical, genetic, and pathological data resides in the Genomic Data Commons (GDC) Data Portal while the radiological data is stored on The Cancer Imaging Archive.
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NLP Dataset Builder
Web-based Annotation Tools
⬤A created bounding box annotation
⬤B created freeform annotation
API, jupyter integration, and client libraries to facilitate model development
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Customers and Partners
MD.ai in the Press
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