Shape and texture indexes application to cell nuclei classification

G Thibault, B Fertil, C Navarro, S Pereira… - … Journal of Pattern …, 2013 - World Scientific
This paper describes the sequence of construction of a cell nuclei classification model by the
analysis, the characterization and the classification of shape and texture. We describe first …

Advanced statistical matrices for texture characterization: application to cell classification

G Thibault, J Angulo, F Meyer - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper presents new structural statistical matrices which are gray level size zone matrix
(SZM) texture descriptor variants. The SZM is based on the cooccurrences of size/intensity of …

Surface curvature as a measure of image texture

FG Peet, TS Sahota - IEEE transactions on pattern analysis …, 1985 - ieeexplore.ieee.org
Methods from the theory of surfaces in differential geometry are applied to the gray tone
intensity and absorbance surfaces defined by a digital image. In particular, the first …

A feature set for cytometry on digitized microscopic images

K Rodenacker, E Bengtsson - Analytical Cellular Pathology, 2003 - content.iospress.com
Feature extraction is a crucial step in most cytometry studies. In this paper a systematic
approach to feature extraction is presented. The feature sets that have been developed and …

[HTML][HTML] Mining textural knowledge in biological images: Applications, methods and trends

S Di Cataldo, E Ficarra - Computational and structural biotechnology …, 2017 - Elsevier
Texture analysis is a major task in many areas of computer vision and pattern recognition,
including biological imaging. Indeed, visual textures can be exploited to distinguish specific …

Medical image classification using different machine learning algorithms

SH Ismael, SW Kareem… - AL-Rafidain Journal of …, 2020 - mosuljournals.com
The different types of white blood cells equips us an important data for diagnosing and
identifying of many diseases. The automation of this task can save time and avoid errors in …

Image structure representation and processing: a discussion of some segmentation methods in cytology

C Garbay - IEEE Transactions on Pattern Analysis and …, 1986 - ieeexplore.ieee.org
Image processing methods (segmentation) are presented in connection with a modeling of
image structure. An image is represented as a set of primitives, characterized by their type …

A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells

MV Boland, RF Murphy - Bioinformatics, 2001 - academic.oup.com
Motivation: Assessment of protein subcellular location is crucial to proteomics efforts since
localization information provides a context for a protein's sequence, structure, and function …

[PDF][PDF] CellClassifier: supervised learning of cellular phenotypes

P Rämö, R Sacher, B Snijder… - …, 2009 - research-collection.ethz.ch
CellClassifier is a tool for classifying single-cell phenotypes in microscope images. It
includes several unique and user-friendly features for classification using multiclass support …

Human chromosome classification based on local band descriptors

FCA Groen, TK ten Kate, AWM Smeulders… - Pattern Recognition …, 1989 - Elsevier
In this paper several new techniques for automated chromosome analysis are described:
one for piecewise-linear chromosome stretching and projection, two for accurately localizing …