Cargando…
Application of Structural Entropy and Spatial Filling Factor in Colonoscopy Image Classification
For finding colorectal polyps the standard method relies on the techniques and devices of colonoscopy and the medical expertise of the gastroenterologist. In case of images acquired through colonoscopes the automatic segmentation of the polyps from their environment (i.e., from the bowel wall) is an...
Autores principales: | Sziová, Brigita, Nagy, Szilvia, Fazekas, Zoltán |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392869/ https://www.ncbi.nlm.nih.gov/pubmed/34441076 http://dx.doi.org/10.3390/e23080936 |
Ejemplares similares
-
On Structural Entropy and Spatial Filling Factor Analysis of Colonoscopy Pictures
por: Nagy, Szilvia, et al.
Publicado: (2019) -
Entropy Estimators in SAR Image Classification
por: Cassetti, Julia, et al.
Publicado: (2022) -
Adaptive Compressive Sensing of Images Using Spatial Entropy
por: Li, Ran, et al.
Publicado: (2017) -
EspEn Graph for the Spatial Analysis of Entropy in Images
por: Espinosa Medina, Ricardo Alonso
Publicado: (2023) -
Spatial distribution of the Shannon entropy for mass spectrometry imaging
por: Xu, Lili, et al.
Publicado: (2023)