Unsupervised segmentation and classification of cervical cell images

A Gençtav, S Aksoy, S Önder - Pattern recognition, 2012 - Elsevier
The Pap smear test is a manual screening procedure that is used to detect precancerous
changes in cervical cells based on color and shape properties of their nuclei and …

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 …

Automatic cervical cell segmentation and classification in Pap smears

T Chankong, N Theera-Umpon… - Computer methods and …, 2014 - Elsevier
Cervical cancer is one of the leading causes of cancer death in females worldwide. The
disease can be cured if the patient is diagnosed in the pre-cancerous lesion stage or earlier …

Automated classification of Pap smear images to detect cervical dysplasia

K Bora, M Chowdhury, LB Mahanta, MK Kundu… - Computer methods and …, 2017 - Elsevier
Background and objectives The present study proposes an intelligent system for automatic
categorization of Pap smear images to detect cervical dysplasia, which has been an open …

Automatic cell nuclei segmentation and classification of cervical Pap smear images

P Wang, L Wang, Y Li, Q Song, S Lv, X Hu - Biomedical Signal Processing …, 2019 - Elsevier
Pathological examination of microscopic image of Pap smear slide remains the main
method for cervical cancer diagnosis. The accurate segmentation and classification of …

[HTML][HTML] A hierarchical feature-based methodology to perform cervical cancer classification

DN Diniz, MT Rezende, AGC Bianchi, CM Carneiro… - Applied Sciences, 2021 - mdpi.com
Prevention of cervical cancer could be performed using Pap smear image analysis. This test
screens pre-neoplastic changes in the cervical epithelial cells; accurate screening can …

A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images

W William, A Ware, AH Basaza-Ejiri… - Computer methods and …, 2018 - Elsevier
Abstract Background and Objective Early diagnosis and classification of a cancer type can
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …

Deep learning for cell image segmentation and ranking

FHD Araújo, RRV Silva, DM Ushizima… - … Medical Imaging and …, 2019 - Elsevier
Ninety years after its invention, the Pap test continues to be the most used method for the
early identification of cervical precancerous lesions. In this test, the cytopathologists look for …

Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images

ME Plissiti, C Nikou, A Charchanti - Pattern Recognition Letters, 2011 - Elsevier
In this work, we present an automated method for the detection and boundary determination
of cells nuclei in conventional Pap stained cervical smear images. The detection of the …

DeepPap: deep convolutional networks for cervical cell classification

L Zhang, L Lu, I Nogues, RM Summers… - IEEE journal of …, 2017 - ieeexplore.ieee.org
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a
highly effective cell imaging based cancer detection tool, where cells are partitioned into …