Heterogeneity assessment of histological tissue sections in whole slide images
| Autor: | Philippe Belhomme, Simon Toralba, Myriam Oger, Benoît Plancoulaine, Metin N. Gurcan, Catherine Bor-Angelier |
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| Rok vydání: | 2014 |
| Předmět: |
Computer science
Cytodiagnosis Diffusion map Health Informatics Breast Neoplasms Sensitivity and Specificity Pattern Recognition Automated Digital image Tissue heterogeneity Image Interpretation Computer-Assisted Humans Radiology Nuclear Medicine and imaging Computer vision Segmentation Microscopy Radiological and Ultrasound Technology business.industry Dimensionality reduction Reproducibility of Results Image Enhancement Computer Graphics and Computer-Aided Design Tissue sections Whole slide image Female Computer Vision and Pattern Recognition Artificial intelligence Numerical estimation business Algorithms |
| Zdroj: | Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 42 |
| ISSN: | 1879-0771 |
| Popis: | Computerized image analysis (IA) can provide quantitative and repeatable object measurements by means of methods such as segmentation, indexation, classification, etc. Embedded in reliable automated systems, IA could help pathologists in their daily work and thus contribute to more accurate determination of prognostic histological factors on whole slide images. One of the key concept pathologists want to dispose of now is a numerical estimation of heterogeneity. In this study, the objective is to propose a general framework based on the diffusion maps technique for measuring tissue heterogeneity in whole slide images and to apply this methodology on breast cancer histopathology digital images. |
| Databáze: | OpenAIRE |
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