Filters








3,505 Hits in 4.9 sec

Cervical Cancer Detection Based on Novel Decision Tree Approach

S. R. Sylaja Vallee Narayan, R. Jemila Rose
2023 Computer systems science and engineering  
It proposes a novel method to develop an assistance system for the detection diagnosis of cervical cancer, based on work of Martin, Byriel and Norup.  ...  The goal of creating a decision tree is to establish prediction model that anticipate the feature vector based on the input variable.  ...  The paper presents a novel decision tree approach for deciding the type of cervical cancer based on features extracted from the preprocessed image.  ... 
doi:10.32604/csse.2023.022564 fatcat:d5bjbi6ndncwrjuivpaf6kdqvu

Analysis of Machine Learning and Statistics Tool Box Matlab R2016 over Novel Benchmark Cervical Cancer Database

Abid Sarwar
2017 International Journal of Trend in Scientific Research and Development  
Uterine Cervix Cancer is one of the leading Cancer names effecting the female population worldwide [1] [2] . Incidence of Cervical Cancer can be reduced by 80% through a routine Pap smear test.  ...  The raw cases of cervical cancer in form of Pap smear slides were photographed under a multi-headed digital microscope.  ...  cancer detection tool for efficient and timely detection of cancer.  ... 
doi:10.31142/ijtsrd7048 fatcat:qpeubu2zdzgalefo7d5bc7f2u4

Novel Benchmark Database of Digitized and Calibrated Cervical Cells for Artificial Intelligence Based Screening of Cervical Cancer

Abid Sarwar, Jyotsna Suri, Vinod Sharma, Mehbob Ali
2017 Gynecology & Obstetrics  
Methodology: The correct and timely diagnosis of cervical cancer is one of the major problems in the medical world.  ...  Besides developing a rich machine learning database we have also presented a novel artificial intelligence based hybrid ensemble technique for efficient screening of cervical cancer by automated analysis  ...  later on develop into cervical cancers.  ... 
doi:10.4172/2161-0932.s3:105 fatcat:4bmc2qmitbbevkoorqgnuogxri

Novel benchmark database of digitized and calibrated cervical cells for artificial intelligence based screening of cervical cancer

Abid Sarwar, Jyotsna Suri, Mehbob Ali, Vinod Sharma
2016 Journal of Ambient Intelligence and Humanized Computing  
Methodology: The correct and timely diagnosis of cervical cancer is one of the major problems in the medical world.  ...  Besides developing a rich machine learning database we have also presented a novel artificial intelligence based hybrid ensemble technique for efficient screening of cervical cancer by automated analysis  ...  later on develop into cervical cancers.  ... 
doi:10.1007/s12652-016-0353-8 fatcat:g67g5n7vvnh4zhovrlt3jnl7ky

Cervical Cancer Prediction through Different Screening Methods using Data Mining

Talha Mahboob Alam, Muhammad Milhan, Muhammad Atif, Abdul Wahab, Mubbashar Mushtaq
2019 International Journal of Advanced Computer Science and Applications  
This paper mainly focuses on cervical cancer prediction through different screening methods using data mining techniques like Boosted decision tree, decision forest and decision jungle algorithms as well  ...  Cervical cancer remains an important reason of deaths worldwide because effective access to cervical screening methods is a big challenge.  ...  Final decision of the ensemble is based on trees in which high prediction confidence depends on high weight. Criminisi [36] presented a complete detail associated with decision forest.  ... 
doi:10.14569/ijacsa.2019.0100251 fatcat:cba7ljonkrb4zb3m3dfljyd24m

Cervical Cancer Cell Prediction using Machine Learning Classification Algorithms

Prianka R R, Celine Kavida A, Bibin M R
2021 Engineering and Scientific International Journal  
In this paper, to make the detection process a portion faster and accurate machine learning techniques such as Decision Stump, C4.5 and Averaged One Dependence Estimators (AODE) for novel NCBI cervical  ...  In cancer identification, extrapolation of cervical cancer in patients shows a vital role.  ...  In a decision tree, one internal node (the root) which is immediately connected to the terminal nodes (its leaves) determines and decision stump makes a prediction based on the value of just a single input  ... 
doi:10.30726/esij/v8.i1.2021.81006 fatcat:fly2yo66qfdlfaqhkkwwwve3xu

Artificial Intelligence for Cervical Cancer Analysis

2021 International Journal of Advanced Trends in Computer Science and Engineering  
were analyzed based on three principal criteria: contributions of the paper, techniques, and algorithms of artificial intelligence, and datasets used.  ...  The purpose of this re-view is to summarize the published studies in recent years on the use of Artificial intelligence technologies in cases associated with cervical cancer. 26 articles related to HPV  ...  Also, in [23] applied Decision Tree and Apriori algorithms on DNA sequences to analyzes both common and distinctive features of HPV Type 16, 18, and 58.  ... 
doi:10.30534/ijatcse/2021/671032021 fatcat:pzhqdaigcbat5osxz2kk7qlwau

Cervical cancer diagnosis based on cytology pap smear image classification using fractional coefficient and machine learning classifiers

Madhura Kalbhor, Swati Vijay Shinde, Hemant Jude
2022 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
The thrust for early diagnosis of cervical cancer has always fuelled the research in medical image analysis for cancer detection.  ...  Due to this reason, automated systems assist pathologists in providing a second opinion to arrive at accurate decision based on cytology images.  ...  Hemalatha and Rani [11] suggested that the proposed enhanced edge detection technique based on a fuzzy approach gives better accuracy for cervical cancer detection. Bhargava et al.  ... 
doi:10.12928/telkomnika.v20i5.22440 fatcat:gagwmxetizegxfs2b37nukbluq

A Contemporary Machine Learning Method for Accurate Prediction of Cervical Cancer

Jeremiah Tanimu Jesse, Hamada Mohamed, Hassan Mohammed, Yusuf Ilu Saratu
2021 SHS Web of Conferences  
This work presents a Decision tree (DT) classification algorithm and shows the advantage of feature selection approaches in the prediction of cervical cancer using recursive feature elimination technique  ...  A comparative analysis of the proposed model has been performed to show the effectiveness of feature selection and class imbalance based on the classifier's accuracy, sensitivity, and specificity.  ...  Fatlawi [9] in his research applied an enhanced decision tree classifier (DT cost-sensitive) for the classification of cervical cancer patients based on the dataset on the UCI repository.  ... 
doi:10.1051/shsconf/202110204004 doaj:bfc575fa753841008cb61f9e96320e0c fatcat:p4hfuszxr5h63ckhz2llybbwhq

Using novel biomarkers to triage young adult women with minor cervical lesions: a cost-effectiveness analysis

K Pedersen, SW Sørbye, IS Kristiansen, EA Burger
2016 BJOG: an International Journal of Obstetrics and Gynaecology  
As health and economic outcomes are Decision-tree model for novel biomarkers (Paper I) The decision-tree model was initially conceptualized together with Norwegian policymakers to inform an ongoing  ...  data from the Cancer Registry of Norway covering two decades of cytology-based screening).The costing approach for Papers I, II and IV were based on micro-costing from Norwegian pathology laboratories  ... 
doi:10.1111/1471-0528.14135 pmid:27264207 fatcat:76v45yfqlbdaxnsadjlhbez7em

Identification of biomarkers for radiation-induced acute intestinal symptoms (RIAISs) in cervical cancer patients by serum protein profiling

Y. Chai, J. Wang, Y. Gao, T. Wang, F. Shi, J. Su, Y. Yang, X. Zhou, L. Song, Z. Liu
2014 Journal of Radiation Research  
A decision tree model of biomarkers was constructed based on three biomarkers (m/z 1270.88, 1503.23 and 7514.90), which separated RIAIS-affected patients from the control group with an accuracy of 81%.  ...  Serum samples were collected from 66 cervical cancer patients prior to pelvic radiotherapy. In our study, RIAISs occurred in 11 patients.  ...  Decision tree The decision tree was constructed by the Package weka.classifiers.trees.J48 (C4.5 java version). Splitting decisions were based on normalized intensity levels of peaks.  ... 
doi:10.1093/jrr/rru081 pmid:25256248 pmcid:PMC4572598 fatcat:hq6umkwm4bdgnbvlzllyfxtv5e

Decision Tree based Classification and Dimensionality Reduction of Cervical Cancer

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
After breast cancer, most of the deaths among women are due to cervical cancer.  ...  The classification is performed using the recent iteration in Quinlan's C4.5 decision tree algorithm i.e. C5.0 algorithm and PCA as Dimensionality Reduction technique.  ...  Many approaches have been proposed to detect the cervical cancer at early stages which are support vector machine (SVM), k-nearest neighbor, linear regression, and naive-bayes [1, 4] .  ... 
doi:10.35940/ijitee.f4530.049620 fatcat:hqqod7lilzhdrkfpjnrxnke6nu

Automated Detection and Classification of Cervical Cancer Using Pap Smear Microscopic Images: A Comprehensive Review and Future Perspectives

Shanthi P B, Department of Computer Science and Engineering , Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India,576104, Hareesha K S, Ranjini Kudva, Department of Computer Application , Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India,576104, Department of Pathology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India, 576104
2022 Engineered Science  
In this review, we have outlined state of the art techniques expressed in prominent publications on computer assisted diagnostic system for cancer detection.  ...  Cervical cancer is a main cause of mortality among women worldwide and more prevalent in underdeveloped countries.  ...  [79] Taha et al. focus on the classification phase by proposing a novel approach for cervical cancer detection. They use a pre-trained convolution neural network with an SVM at the back end.  ... 
doi:10.30919/es8d633 fatcat:j2kjggmqjrbz3dvy25faw2zki4

Exploring on Various Prediction Model in Data Mining Techniques for Disease Diagnosis

K. Lokanayaki, A. Malathi
2013 International Journal of Computer Applications  
The main objective of this survey paper focused on variety of data mining techniques, approaches and different researches which are ongoing and helpful to medical diagnosis of disease.  ...  The study reveals that depending on the type of dataset used each model differs in their performance.  ...  Data Mining Approach to Cervical Cancer Patients Analysis Using Clustering Technique.  ... 
doi:10.5120/13392-1032 fatcat:mxz6gtwbibd2fowhv222ycpugi

Interactive personalized recommendation systems for human health

Ching-Hsien Hsu, Amir H. Alavi, Mianxiong Dong
2021 Journal of Ambient Intelligence and Humanized Computing  
We hope the novel and scientific contributions presented in this special issue will add value to the international scientific research community.  ...  The guest editors are deeply indebted to numerous reviewers for their professional effort, insight, and hard work put into commenting on the selected articles that reflect the essence of this special issue  ...  This can improve the prediction accuracy and enables earlier detection of cervical cancer.  ... 
doi:10.1007/s12652-021-02950-2 pmid:33680211 pmcid:PMC7913042 fatcat:mb4na3ph5jagnhwayhvoqajfxe
« Previous Showing results 1 — 15 out of 3,505 results