<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.18130/V3/E5Z1MN</identifier><creators><creator><creatorName nameType="Personal">Sengupta, Saurav</creatorName><givenName>Saurav</givenName><familyName>Sengupta</familyName></creator></creators><titles><title>Eosinophilic Esophagitis E-13_3</title></titles><publisher>University of Virginia Dataverse</publisher><publicationYear>2024</publicationYear><subjects><subject>Other</subject><subject>imaging</subject><subject>eoe</subject><subject>eosinophilic gastrointestinal disease</subject><subject>healthcare deep learning</subject><subject>gut intelligenceai</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Sengupta, Saurav</contributorName><givenName>Saurav</givenName><familyName>Sengupta</familyName></contributor></contributors><dates><date dateType="Created">2024-11-12</date><date dateType="Submitted">2024-11-12</date><date dateType="Updated">2024-11-12</date></dates><resourceType resourceTypeGeneral="Dataset"/><alternateIdentifiers><alternateIdentifier alternateIdentifierType="iTHRIV">https://portal.ithriv.org/#/public_commons/project/4e5a27e3-3fdd-4e59-b54e-f4105ff1cc28/dataset/1290881b-c1dc-4ddf-bdb9-29af4b712c8c</alternateIdentifier></alternateIdentifiers><sizes><size>1023753181</size></sizes><formats><format>image/tiff</format></formats><version>2.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</rights></rightsList><descriptions><description descriptionType="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.</description></descriptions><geoLocations/></resource>