Artificial neural networks as decision support tools in cytopathology: past, present, and future

A Pouliakis, E Karakitsou, N Margari… - Biomedical …, 2016 - journals.sagepub.com
Objective This study aims to analyze the role of artificial neural networks (ANNs) in
cytopathology. More specifically, it aims to highlight the importance of employing ANNs in …

Semi-automatic segmentation and classification of pap smear cells

YF Chen, PC Huang, KC Lin, HH Lin… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
Cytologic screening has been widely used for detecting the cervical cancers. In this study, a
semiautomatic PC-based cellular image analysis system was developed for segmenting …

Use of a respiratory clinical score among different providers

LL Liu, MM Gallaher, RL Davis, CM Rutter… - Pediatric …, 2004 - Wiley Online Library
Respiratory assessment of children with asthma or bronchiolitis is problematic because both
the components of the assessment and their relative importance vary among care providers …

Clinical respiratory scales: which one should we use?

AJ Justicia-Grande, J Pardo Seco… - Expert Review of …, 2017 - Taylor & Francis
Introduction: There are countless clinical respiratory scales for acute dyspnoea. Most
healthcare professionals choose one based on previous personal experience or following …

[HTML][HTML] Cell surface as a fractal: normal and cancerous cervical cells demonstrate different fractal behavior of surface adhesion maps at the nanoscale

ME Dokukin, NV Guz, RM Gaikwad… - Physical review …, 2011 - ncbi.nlm.nih.gov
Here we show that the surface of human cervical epithelial cells demonstrates substantially
different fractal behavior when the cell becomes cancerous. Analyzing the adhesion maps of …

Nominated texture based cervical cancer classification

EJ Mariarputham, A Stephen - Computational and mathematical …, 2015 - Wiley Online Library
Accurate classification of Pap smear images becomes the challenging task in medical image
processing. This can be improved in two ways. One way is by selecting suitable well defined …

Machine Learning Allows for Distinguishing Precancerous and Cancerous Human Epithelial Cervical Cells Using High-Resolution AFM Imaging of Adhesion Maps

M Petrov, I Sokolov - Cells, 2023 - mdpi.com
Previously, the analysis of atomic force microscopy (AFM) images allowed us to distinguish
normal from cancerous/precancerous human epithelial cervical cells using only the fractal …

Towards early detection of cervical cancer: Fractal dimension of AFM images of human cervical epithelial cells at different stages of progression to cancer

NV Guz, ME Dokukin, CD Woodworth, A Cardin… - … , Biology and Medicine, 2015 - Elsevier
We used AFM HarmoniX modality to analyse the surface of individual human cervical
epithelial cells at three stages of progression to cancer, normal, immortal (pre-malignant) …

Quantitative assessment of pap smear cells by PC-based cytopathologic image analysis system and support vector machine

PC Huang, YK Chan, PC Chan, YF Chen… - Medical Biometrics: First …, 2007 - Springer
Cytologic screening has been widely used for controlling the prevalence of cervical cancer.
Errors from sampling, screening and interpretation, still concealed some unpleasant results …

Fractal analysis of cancer cell surface

I Sokolov, ME Dokukin - Cancer Nanotechnology: Methods and Protocols, 2017 - Springer
Fractal analysis of the cell surface is a rather sensitive method which has been recently
introduced to characterize cell progression toward cancer. The surface of fixed and freeze …