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Early breast cancer identification : which way to go? Microarray or image based computer aided diagnosis!

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Early breast cancer identification : which way to go? Microarray or image based computer aided diagnosis!
นักวิจัย : Nahar, Jesmin. , Ali, Shawkat. , Tickle, Kevin. , Chen, Yi-Ping Phoebe.
คำค้น : Breast , Applied research. , 890201 Application Software Packages (excl. Computer Games). , 080109 Pattern Recognition and Data Mining. , Breast , Pattern recognition systems. , Breast cancer -- Image -- Microarray -- Computer aided
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2552
อ้างอิง : http://hdl.cqu.edu.au/10018/44789 , http://dx.doi.org/10.1109/NSS.2009.75
ที่มา : Nahar, J, Tickle, K,Ali, S & Chen, Y-P 2009, 'Early breast cancer identification: which way to go? microarray or image based computer aided diagnosis! ', paper presented to the 2009 Third International Conference on Network and System Security.http://dx.doi.org/10.1109/NSS.2009.75 (viewed 13/5/10)
ความเชี่ยวชาญ : -
ความสัมพันธ์ : International Conference on Network and System Security (NSS 2009) ; proceedings of a meeting held October 19-21, 2009, Gold Coast, Australia. USA. : IEEE, 2009. p. 456-461 6 pages Refereed 9780769538389 (online) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

The goal of this research is to develop a computer aided diagnostic (CAD) system that can detect breast cancer in the early stage by using microarray and image data. We verified the performance of six well known classification algorithms with various performance matrices. Although we do not suggest a unique classifier algorithm for a CAD system, we do identify a number of algorithms whose performance is very promising. The algorithms performance was validated by 3 images dataset; two have been used for the first time in this experiment. Multidimensional image filtering is adopted for the final data extraction. The image data classification performance is compared with microarray data. Results suggest the most effective means of breast cancer identification in the early stage is a hybrid approach.

บรรณานุกรม :
Nahar, Jesmin. , Ali, Shawkat. , Tickle, Kevin. , Chen, Yi-Ping Phoebe. . (2552). Early breast cancer identification : which way to go? Microarray or image based computer aided diagnosis!.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Nahar, Jesmin. , Ali, Shawkat. , Tickle, Kevin. , Chen, Yi-Ping Phoebe. . 2552. "Early breast cancer identification : which way to go? Microarray or image based computer aided diagnosis!".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Nahar, Jesmin. , Ali, Shawkat. , Tickle, Kevin. , Chen, Yi-Ping Phoebe. . "Early breast cancer identification : which way to go? Microarray or image based computer aided diagnosis!."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2552. Print.
Nahar, Jesmin. , Ali, Shawkat. , Tickle, Kevin. , Chen, Yi-Ping Phoebe. . Early breast cancer identification : which way to go? Microarray or image based computer aided diagnosis!. กรุงเทพมหานคร : Central Queensland University, Australia; 2552.