OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization.

Ophthalmic medical images, such as optical coherence tomography (OCT) images and color photo of fundus, provide valuable information for clinical diagnosis and treatment of ophthalmic diseases. In this paper, we introduce a software system specially oriented to ophthalmic images processing, analysis...

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Publicado en:Journal of Digital Imaging Vol. 32; no. 1; pp. 183 - 198
Autores principales: Zhang, Lichun, Xiang, Dehui, Jin, Chao, Shi, Fei, Yu, Kai, Chen, Xinjian
Formato: diagnostic images pictorial research tables/charts Journal Article
Publicado: Springer Nature Feb2019
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        atl: OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization.
      aug:
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          Zhang, Lichun
          Xiang, Dehui
          Jin, Chao
          Shi, Fei
          Yu, Kai
          Chen, Xinjian
        affil: School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, 215006, Jiangsu Province, China
      sug:
        subj:
          Software
          Image Processing, Computer Assisted Methods
          Ophthalmoscopy Methods
          Tomography, Optical Coherence Methods
          Eye Diseases Diagnosis
          Human
          Conceptual Framework
          Workflow
      ab: Ophthalmic medical images, such as optical coherence tomography (OCT) images and color photo of fundus, provide valuable information for clinical diagnosis and treatment of ophthalmic diseases. In this paper, we introduce a software system specially oriented to ophthalmic images processing, analysis, and visualization (OIPAV) to assist users. OIPAV is a cross-platform system built on a set of powerful and widely used toolkit libraries. Based on the plugin mechanism, the system has an extensible framework. It provides rich functionalities including data I/O, image processing, interaction, ophthalmic diseases detection, data analysis, and visualization. By using OIPAV, users can easily access to the ophthalmic image data manufactured from different imaging devices, facilitate workflows of processing ophthalmic images, and improve quantitative evaluations. With a satisfying function scalability and expandability, the software is applicable for both ophthalmic researchers and clinicians.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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