Image J
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- MeSH
- poruchy příjmu potravy psychologie terapie MeSH
- představa o vlastním těle MeSH
- senzorické arteterapie metody využití MeSH
- Publikační typ
- kongresy MeSH
Roberts, Robert J. Maciunas
1st ed. xii, 264 s., obr.
elektronický časopis
- Konspekt
- Lékařské vědy. Lékařství
- NLK Obory
- ošetřovatelství
- NLK Publikační typ
- elektronické časopisy
elektronický časopis
- MeSH
- mikroskopie fázově kontrastní metody normy MeSH
- polarizační mikroskopie metody normy MeSH
- Publikační typ
- přehledy MeSH
X, 515 s. : tab., grafy ; 26 cm
Retinopathy of prematurity (ROP) represents a vasoproliferative disease, especially in newborns and infants, which can potentially affect and damage the vision. Despite recent advances in neonatal care and medical guidelines, ROP still remains one of the leading causes of worldwide childhood blindness. The paper presents a unique dataset of 6,004 retinal images of 188 newborns, most of whom are premature infants. The dataset is accompanied by the anonymized patients' information from the ROP screening acquired at the University Hospital Ostrava, Czech Republic. Three digital retinal imaging camera systems are used in the study: Clarity RetCam 3, Natus RetCam Envision, and Phoenix ICON. The study is enriched by the software tool ReLeSeT which is aimed at automatic retinal lesion segmentation and extraction from retinal images. Consequently, this tool enables computing geometric and intensity features of retinal lesions. Also, we publish a set of pre-processing tools for feature boosting of retinal lesions and retinal blood vessels for building classification and segmentation models in ROP analysis.
- MeSH
- lidé MeSH
- novorozenec nedonošený * MeSH
- novorozenec MeSH
- počítačové zpracování obrazu MeSH
- retina * diagnostické zobrazování MeSH
- retinopatie nedonošených * diagnostické zobrazování MeSH
- Check Tag
- lidé MeSH
- novorozenec MeSH
- Publikační typ
- časopisecké články MeSH
- dataset MeSH
- Geografické názvy
- Česká republika MeSH
sv.
- MeSH
- optika a fotonika MeSH
- zobrazování trojrozměrné MeSH
- Publikační typ
- periodika MeSH
- Konspekt
- Fyzika
- NLK Obory
- fyzika, biofyzika
- radiologie, nukleární medicína a zobrazovací metody
This chapter gives examples of basic procedures of quantification of plant structures with the use of image analysis, which are commonly employed to describe differences among experimental treatments or phenotypes of plant material. Tasks are demonstrated with the use of ImageJ, a widely used public domain Java image processing program. Principles of sampling design based on systematic uniform random sampling for quantitative studies of anatomical parameters are given to obtain their unbiased estimations and simplified "rules of thumb" are presented. The basic procedures mentioned in the text are (1) sampling, (2) calibration, (3) manual length measurement, (4) leaf surface area measurement, (5) estimation of particle density demonstrated on an example of stomatal density, and (6) analysis of epidermal cell shape.
