Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification
The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …
Performance analysis of machine learning algorithms for cervical cancer detection
SK Singh, A Goyal - Research anthology on medical informatics in …, 2023 - igi-global.com
Cervical cancer is second most prevailing cancer in women all over the world and the Pap
smear is one of the most popular techniques used to diagnosis cervical cancer at an early …
smear is one of the most popular techniques used to diagnosis cervical cancer at an early …
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 …
processing. This can be improved in two ways. One way is by selecting suitable well defined …
Particle swarm optimization for pap-smear diagnosis
The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …
Cervical cancer detection and classification from pap smear images
In this paper, we propose a framework for detection and classification of cervical cancer from
pap smear images. Early detection and accurate diagnosis of cervical cancer can reduce the …
pap smear images. Early detection and accurate diagnosis of cervical cancer can reduce the …
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images
Objective To assess the feasibility of lung cancer diagnosis using fibered confocal
fluorescence microscopy (FCFM) imaging technique and scattering features for pattern …
fluorescence microscopy (FCFM) imaging technique and scattering features for pattern …
Automated identification of cancerous smears using various competitive intelligent techniques
In this study the performance of various intelligent methodologies is compared in the task of
pap-smear diagnosis. The selected intelligent methodologies are briefly described and …
pap-smear diagnosis. The selected intelligent methodologies are briefly described and …
Intelligent and nature inspired optimization methods in medicine: the Pap smear cell classification problem
The classification problem consists of using some known objects, usually described by a
large vector of features, to induce a model that classifies others into known classes. Feature …
large vector of features, to induce a model that classifies others into known classes. Feature …
Nature inspired intelligence in medicine: Ant colony optimization for Pap-Smear diagnosis
During the last years nature inspired intelligent techniques have become attractive for
analyzing large data sets and solving complex optimization problems. In this paper, one of …
analyzing large data sets and solving complex optimization problems. In this paper, one of …
Nuclei segmentation and identification in practical pap-smear images with multiple overlap** cells
Uterine cervical cancer is the second most common cancer among women, with around half
a million cases reported every year. The Papanicolaou technique provides an inexpensive …
a million cases reported every year. The Papanicolaou technique provides an inexpensive …