The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research
| Autor: | Mohammed Khalilia, David E. Manthey, David A. Gutman, Deepak Roy Chittajallu, Sanghoon Lee, Lee Cooper, Zach Mullen, Michael Nalisnik, Jonathan D. Beezley |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Cancer Research Computer science Digital slide Image processing Article 03 medical and health sciences 0302 clinical medicine Software Neoplasms Image Processing Computer-Assisted Humans Internet business.industry Libraries Digital Digital pathology Metadata 030104 developmental biology Oncology 030220 oncology & carcinogenesis Cancer research The Internet State (computer science) business Expansive |
| Zdroj: | Cancer Research. 77:e75-e78 |
| ISSN: | 1538-7445 0008-5472 |
| DOI: | 10.1158/0008-5472.can-17-0629 |
| Popis: | Tissue-based cancer studies can generate large amounts of histology data in the form of glass slides. These slides contain important diagnostic, prognostic, and biological information and can be digitized into expansive and high-resolution whole-slide images using slide-scanning devices. Effectively utilizing digital pathology data in cancer research requires the ability to manage, visualize, share, and perform quantitative analysis on these large amounts of image data, tasks that are often complex and difficult for investigators with the current state of commercial digital pathology software. In this article, we describe the Digital Slide Archive (DSA), an open-source web-based platform for digital pathology. DSA allows investigators to manage large collections of histologic images and integrate them with clinical and genomic metadata. The open-source model enables DSA to be extended to provide additional capabilities. Cancer Res; 77(21); e75–78. ©2017 AACR. |
| Databáze: | OpenAIRE |
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