Cargando…
Segmentation of Microscope Erythrocyte Images by CNN-Enhanced Algorithms
This paper presents an algorithm for segmentation and shape analysis of erythrocyte images collected using an optical microscope. The main objective of the proposed approach is to compute statistical object values such as the number of erythrocytes in the image, their size, and width to height ratio...
Autores principales: | Buczkowski, Mateusz, Szymkowski, Piotr, Saeed, Khalid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958629/ https://www.ncbi.nlm.nih.gov/pubmed/33801361 http://dx.doi.org/10.3390/s21051720 |
Ejemplares similares
-
Simultaneous Segmentation of Leukocyte and Erythrocyte in Microscopic Images Using a Marker-Controlled Watershed Algorithm
por: Miao, Huisi, et al.
Publicado: (2018) -
Medical Image Segmentation Algorithm Based on Feedback Mechanism CNN
por: An, Feng-Ping, et al.
Publicado: (2019) -
An Approach to Automatic Hard Exudate Detection in Retina Color Images by a Telemedicine System Based on the d-Eye Sensor and Image Processing Algorithms
por: Saeed, Emil, et al.
Publicado: (2019) -
A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images
por: Qamar, Saqib, et al.
Publicado: (2023) -
Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset
por: Xu, Mingjie, et al.
Publicado: (2019)