Application of support vector based methods for cervical cancer cell classification

Application of support vector based methods for cervical cancer cell classification

© 2015 IEEE. Cervical cancer is known to be one of the deadly diseases in women. On the other hand, it is one of the most curable cancer if detected early. A well-known method in screening cervical cancer is by performing the Papanicoulaou test or Pap test. However, the screening process is laboriou...

Saved in:

書目詳細資料
Main Authors:	Teeyapan K., Theera-Umpon N., Auephanwiriyakul S.
格式:	Conference Proceeding
出版:	2017
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978910916&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41873
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Application of support vector based methods for cervical cancer cell classification
由: Kasemsit Teeyapan, et al.
出版: (2018)

Ellipsoidal support vector data description
由: Teeyapan K., et al.
出版: (2017)

Ellipsoidal support vector data description
由: Kasemsit Teeyapan, et al.
出版: (2018)

Ellipsoidal support vector data description
由: Kasemsit Teeyapan, et al.
出版: (2018)

Automatic cervical cell segmentation and classification in Pap smears
由: Chankong T., et al.
出版: (2014)

Cervical Cell Classification using Fourier Transform
由: Thanatip Chankong, et al.
出版: (2018)

Cervical Cell Classification using Fourier Transform
由: Thanatip Chankong, et al.
出版: (2018)

Automatic cervical cell classification using patch-based fuzzy clustering and minimum average correlation energy filter
由: Chankong,T., et al.
出版: (2015)

Automatic cervical cell segmentation and classification in Pap smears
由: Thanatip Chankong, et al.
出版: (2018)

Automatic cervical cell segmentation and classification in Pap smears
由: Thanatip Chankong, et al.
出版: (2018)

Runoff forecasting using fuzzy support vector regression
由: Wiriyarattanakul S., et al.
出版: (2014)

3D missing point estimation using fuzzy support vector regression
由: Winaipanich S., et al.
出版: (2014)

Architectural distortion detection from mammograms using support vector machine
由: Netprasat,O., et al.
出版: (2015)

Runoff forecasting using fuzzy support vector regression
由: Sopon Wiriyarattanakul, et al.
出版: (2018)

Interpretation of nevirapine concentration from immunochromatographic strip test using support vector regression
由: Sumonphan E., et al.
出版: (2014)

Power prediction in reverse link for mobile DS/CDMA systems using support vector regression
由: Suyaroj N., et al.
出版: (2014)

A novel neuro-fuzzy method for linguistic feature selection and rule-based classification
由: Eiamkanitchat N., et al.
出版: (2014)

Optimizing support vector machine parameters using cuckoo search algorithm via cross validation
由: Puntura A., et al.
出版: (2017)

River basin flood prediction using support vector machines
由: Theera-Umpon N., et al.
出版: (2014)

Bone age assessment in young children using automatic carpal bone feature extraction and support vector regression
由: Somkantha,K., et al.
出版: (2015)

Bone Age Assessment in Young Children Using Automatic Carpal Bone Feature Extraction and Support Vector Regression
由: Somkantha K., et al.
出版: (2014)

Automatic Nevirapine concentration interpretation system using support vector regression
由: Auephanwiriyakul S., et al.
出版: (2014)

Automatic Nevirapine concentration interpretation system using support vector regression
由: Auephanwiriyakul S., et al.
出版: (2014)

Electrocardiogram reconstruction using support vector regression
由: Yodjaiphet A., et al.
出版: (2015)

3D missing point estimation using fuzzy support vector regression
由: Sirinnared Winaipanich, et al.
出版: (2018)

Colon tumor microarray classification using neural network with feature selection and rule-based classification
由: Eiamkanitchat,N., et al.
出版: (2015)

Moisture content prediction of dried longan aril from dielectric constant using multilayer perceptrons and support vector regression
由: Amaroek S., et al.
出版: (2014)

Interpretation of nevirapine concentration from immunochromatographic strip test using support vector regression
由: Ekkalak Sumonphan, et al.
出版: (2018)

Support vector regression based adaptive power system stabilizer
由: Boonprasert U., et al.
出版: (2014)

Space independent image registration using curve-based method with combination of multiple deformable vector fields
由: Anirut Watcharawipha, et al.
出版: (2020)

Optimizing support vector machine parameters using cuckoo search algorithm via cross validation
由: Akkawat Puntura, et al.
出版: (2018)

Power prediction in reverse link for mobile DS/CDMA systems using support vector regression
由: Naret Suyaroj, et al.
出版: (2018)

Optimizing support vector machine parameters using cuckoo search algorithm via cross validation
由: Akkawat Puntura, et al.
出版: (2018)

A novel neuro-fuzzy method for linguistic feature selection and rule-based classification
由: Narissara Eiamkanitchat, et al.
出版: (2018)

Automatic Nevirapine concentration interpretation system using support vector regression
由: Sansanee Auephanwiriyakul, et al.
出版: (2018)

River basin flood prediction using support vector machines
由: Nipon Theera-Umpon, et al.
出版: (2018)

A novel learning vector quantization inference classifier
由: Maisen C., et al.
出版: (2017)

Short-term load forecasting using wavelet transform and support vector machines
由: Pahasa J., et al.
出版: (2014)

Cross-substation short term load forecasting using support vector machine
由: Pahasa J., et al.
出版: (2014)

Short-term load forecasting using wavelet transform and support vector machines
由: J. Pahasa, et al.
出版: (2018)