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Extraction of morphometric parameters and intensity/distance/density measures of objects and corresponding outgrowth areas.","type":"text"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"background":"#efefef","rowspan":1,"colwidth":[340.0]},"content":[{"type":"paragraph","content":[{"text":"References / Literature","type":"text","marks":[{"type":"strong"}]}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":[340.0]},"content":[{"type":"paragraph","content":[{"text":"-","type":"text"}]}]}]}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Table of contents","type":"text"}]},{"type":"extension","attrs":{"layout":"default","extensionType":"com.atlassian.confluence.macro.core","extensionKey":"toc","parameters":{"macroParams":{"minLevel":{"value":"1"},"maxLevel":{"value":"7"},"exclude":{"value":"Table of contents"}},"macroMetadata":{"macroId":{"value":"b62af31e78999d1bffba2ca12ebd60c0"},"schemaVersion":{"value":"1"},"title":"Table of Contents"}},"localId":"9761356f-00ff-460b-9630-97df6e1d0d56"}},{"type":"heading","attrs":{"level":1},"content":[{"text":"IKOSA AI Instance Segmentation App for Multichannel Images","type":"text"}]},{"type":"paragraph","content":[{"text":"Your IKOSA AI application was created using our training for instance segmentation for multichannel images. All information presented in this document is applicable to your trained application.","type":"text"}]},{"type":"heading","attrs":{"level":1},"content":[{"text":"Application description","type":"text"}]},{"type":"paragraph","content":[{"text":"This application automatically segments instances of objects that resemble ones previously annotated and labeled in the training data of this application. The application supports multiple classes, for each class an outgrowth region can be defined separately. Object count, morphometric feature measurements, densities and distances between instances are calculated. 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