<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Eosinophilic Esophagitis E-100_A</titl><IDNo agency="DOI">doi:10.18130/V3/1VRXIU</IDNo></titlStmt><distStmt><distrbtr source="archive">University of Virginia Dataverse</distrbtr><distDate>2024-11-07</distDate></distStmt><verStmt source="archive"><version date="2024-11-07" type="RELEASED">1</version></verStmt><biblCit>Sengupta, Saurav, 2024, "Eosinophilic Esophagitis E-100_A", https://doi.org/10.18130/V3/1VRXIU, University of Virginia Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Eosinophilic Esophagitis E-100_A</titl><IDNo agency="DOI">doi:10.18130/V3/1VRXIU</IDNo><IDNo agency="iTHRIV">https://portal.ithriv.org/#/public_commons/project/4e5a27e3-3fdd-4e59-b54e-f4105ff1cc28/dataset/6177816f-274b-4f73-bc48-896873ea2848</IDNo></titlStmt><rspStmt><AuthEnty>Sengupta, Saurav</AuthEnty></rspStmt><prodStmt><prodDate>2024-11-07</prodDate></prodStmt><distStmt><distrbtr source="archive">University of Virginia Dataverse</distrbtr><contact>Sengupta, Saurav</contact><depositr>Sengupta, Saurav</depositr><depDate>2024-11-07</depDate></distStmt><holdings URI="https://doi.org/10.18130/V3/1VRXIU"/></citation><stdyInfo><subject><keyword>Other</keyword><keyword>imaging</keyword><keyword>eoe</keyword><keyword>eosinophilic gastrointestinal disease</keyword><keyword>healthcare deep learning</keyword><keyword>gut intelligenceai</keyword></subject><abstract>Eosinophilic esophagitis (EoE) is an inflammatory disease diagnosed by ≥15 intraepithelial eosinophils (Eos) in an esophageal biopsy high-power field. This is a Whole Slide Image (WSI) containing eosinophils that we use to train an AI model to automatically detect and count these cellular structures in a given image to reduce the data annotation burden on clinicians and pathologists.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr></codeBook>