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LOCCA: Manual annotations for lung lobes in CT images of patients with cancer and COVID-19

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dc.contributor.author Ribeiro, Jean Antonio
dc.contributor.author Rittner, Leticia
dc.contributor.author Carmo, Diedre Santos do
dc.contributor.author Appenzeller, Simone
dc.contributor.author Magalhães, Ricardo Siufi
dc.contributor.author Dertkigil, Sergio San Juan
dc.contributor.author Reis, Fabiano
dc.date 2025-04-01
dc.date.accessioned 2025-03-18
dc.date.accessioned 2025-04-03T01:11:17Z
dc.date.available 2025-04-03T01:11:17Z
dc.identifier.uri https://doi.org/10.25824/redu/ORXJKS
dc.identifier.uri https://redu.unicamp.br/dataset.xhtml?persistentId=doi:10.25824/redu/ORXJKS
dc.description This dataset contains two subsets of volumetric lung CT images, accompanied by annotations of the pulmonary lobes. The first subset consists of 30 CT scans from Brazilian patients with COVID-19, with manual annotations for each pulmonary lobe. The second subset includes only 30 manual annotations of the pulmonary lobes from cancer patients, whose volumetric images are publicly available in the Medical Segmentation Decathlon. Additionally, the data include a characterization of the severity of abnormal findings for each image.
dc.description.sponsorship Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.format application/zip
dc.format application/zip
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dc.publisher Antonio Ribeiro, Jean
dc.subject Computer and Information Science
dc.title LOCCA: Manual annotations for lung lobes in CT images of patients with cancer and COVID-19
dc.description.sponsorshipId CAPES: 88887.513444/2020-00


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