{"title":"DoctorEye:一个临床驱动的多功能平台,用于精确处理医学图像中的肿瘤。","authors":"Emmanouil Skounakis, Christina Farmaki, Vangelis Sakkalis, Alexandros Roniotis, Konstantinos Banitsas, Norbert Graf, Konstantinos Marias","doi":"10.2174/1874431101004010105","DOIUrl":null,"url":null,"abstract":"<p><strong>Unlabelled: </strong>This paper presents a novel, open access interactive platform for 3D medical image analysis, simulation and visualization, focusing in oncology images. The platform was developed through constant interaction and feedback from expert clinicians integrating a thorough analysis of their requirements while having an ultimate goal of assisting in accurately delineating tumors. It allows clinicians not only to work with a large number of 3D tomographic datasets but also to efficiently annotate multiple regions of interest in the same session. Manual and semi-automatic segmentation techniques combined with integrated correction tools assist in the quick and refined delineation of tumors while different users can add different components related to oncology such as tumor growth and simulation algorithms for improving therapy planning. The platform has been tested by different users and over large number of heterogeneous tomographic datasets to ensure stability, usability, extensibility and robustness with promising results.</p><p><strong>Availability: </strong>the platform, a manual and tutorial videos are available at: http://biomodeling.ics.forth.gr. it is free to use under the GNU General Public License.</p>","PeriodicalId":88331,"journal":{"name":"The open medical informatics journal","volume":" ","pages":"105-15"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2b/e0/TOMINFOJ-4-105.PMC3096053.pdf","citationCount":"15","resultStr":"{\"title\":\"DoctorEye: A clinically driven multifunctional platform, for accurate processing of tumors in medical images.\",\"authors\":\"Emmanouil Skounakis, Christina Farmaki, Vangelis Sakkalis, Alexandros Roniotis, Konstantinos Banitsas, Norbert Graf, Konstantinos Marias\",\"doi\":\"10.2174/1874431101004010105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Unlabelled: </strong>This paper presents a novel, open access interactive platform for 3D medical image analysis, simulation and visualization, focusing in oncology images. The platform was developed through constant interaction and feedback from expert clinicians integrating a thorough analysis of their requirements while having an ultimate goal of assisting in accurately delineating tumors. It allows clinicians not only to work with a large number of 3D tomographic datasets but also to efficiently annotate multiple regions of interest in the same session. Manual and semi-automatic segmentation techniques combined with integrated correction tools assist in the quick and refined delineation of tumors while different users can add different components related to oncology such as tumor growth and simulation algorithms for improving therapy planning. The platform has been tested by different users and over large number of heterogeneous tomographic datasets to ensure stability, usability, extensibility and robustness with promising results.</p><p><strong>Availability: </strong>the platform, a manual and tutorial videos are available at: http://biomodeling.ics.forth.gr. it is free to use under the GNU General Public License.</p>\",\"PeriodicalId\":88331,\"journal\":{\"name\":\"The open medical informatics journal\",\"volume\":\" \",\"pages\":\"105-15\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2b/e0/TOMINFOJ-4-105.PMC3096053.pdf\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The open medical informatics journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874431101004010105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2010/7/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The open medical informatics journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874431101004010105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2010/7/27 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
DoctorEye: A clinically driven multifunctional platform, for accurate processing of tumors in medical images.
Unlabelled: This paper presents a novel, open access interactive platform for 3D medical image analysis, simulation and visualization, focusing in oncology images. The platform was developed through constant interaction and feedback from expert clinicians integrating a thorough analysis of their requirements while having an ultimate goal of assisting in accurately delineating tumors. It allows clinicians not only to work with a large number of 3D tomographic datasets but also to efficiently annotate multiple regions of interest in the same session. Manual and semi-automatic segmentation techniques combined with integrated correction tools assist in the quick and refined delineation of tumors while different users can add different components related to oncology such as tumor growth and simulation algorithms for improving therapy planning. The platform has been tested by different users and over large number of heterogeneous tomographic datasets to ensure stability, usability, extensibility and robustness with promising results.
Availability: the platform, a manual and tutorial videos are available at: http://biomodeling.ics.forth.gr. it is free to use under the GNU General Public License.