Selection of geometrical features of nuclei оn fluorescent images of cancer cells
The methods of geometric informative features selection of nuclei on fluorescent images of cancer cells are considered. During the survey, a review of existing geometric features was carried out, including both the signs of rotation resisted shape and displacement of the image, as well as signs of l...
Saved in:
Main Authors: | Ya. U. Lisitsa, M. M. Yatskou, V. V. Skakun, P. D. Pavel D. Kryvasheyeu, V. V. Apanasovich |
---|---|
Format: | Article |
Language: | Russian |
Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2019-06-01
|
Series: | Informatika |
Subjects: | |
Online Access: | https://inf.grid.by/jour/article/view/474 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Book review “Median Archaeology”
by: Reza Mehrafarin
Published: (2017-09-01) -
Transforming Cardiac Care: Machine Learning in Heart Condition Prediction Using Phonocardiograms
by: Sandra D’Souza, et al.
Published: (2024-11-01) -
Daily sodium intake and constipation in US adult males: an uncommon negative association revealed by national health and nutrition examination survey data from the United States (2005–2010)
by: Xue-Feng Peng, et al.
Published: (2025-01-01) -
Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients
by: Hongsheng Wu, et al.
Published: (2025-01-01) -
Les oiseaux forestiers montrent-ils la même sensibilité à l’exploitation forestière aux échelles du peuplement et du paysage ?
by: Marc-André Villard, et al.
Published: (2005-09-01)