The CRIC Cervix Collectionis a searchable image database — currently with 400 images (1,376 × 1,020 pixels) curated from conventional Pap smears, with manual classification of 11,534 cells — that makes digital cell image collections available for reproducible research and FAIR machine learning, with the potential to advance current efforts in training and testing machine learning algorithms for the automation of tasks as part of the cytopathological analysis in the routine work of...
BIDS Faculty Affiliate Neil Davies leads the Moorea Biocode Project, which built the first comprehensive inventory of all non-microbial life in a complex tropical ecosystem. Supported by a grant from the Gordon and Betty Moore Foundation, the Moorea Biocode Project sent researchers climbing up jagged peaks, trekking through lush forests and diving down to coral reefs to sample the French...
The Center for Recognition and Inspection of Cells (CRIC)uses massive databases of Pap smear images for the analysis and pre-screening of cervical cells. Our team is dedicated to research and development of software tools and organized cell image catalogues through automated cell morphometry and recognition using machine learning. Recent work shows advancements on cervical cell analysis of images from SUS (Brazilian Universal Health System), and human brain tissue and cells from Memory and Aging...
