Breast cancer diagnosis using wavelet and fuzzy logic
Joint Authors
Mutlaq, Wamidah K.
Ali, Shakir K.
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 8, Issue 2 (30 Jun. 2018), pp.153-163, 11 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2018-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract EN
Breast cancer (BC) is one of the important general health problem in the world.
There are two types of Breast Cancer; benign breast cancer and malignant breast cancer .In this paper we suggest a new algorithm to diagnosis the two types of BC.
Our algorithm has three steps; the first step is preprocessing ,then feature extraction by using wavelet transform and the results from the wavelet transform minimized by using standard division this is for second step and the third step is for diagnosis by using Fuzzy logic , the results from our algorithm are 98%.
The data base usedfrom
American Psychological Association (APA)
Ali, Shakir K.& Mutlaq, Wamidah K.. 2018. Breast cancer diagnosis using wavelet and fuzzy logic. Journal of College of Education for Pure Sciences،Vol. 8, no. 2, pp.153-163.
https://search.emarefa.net/detail/BIM-891977
Modern Language Association (MLA)
Ali, Shakir K.& Mutlaq, Wamidah K.. Breast cancer diagnosis using wavelet and fuzzy logic. Journal of College of Education for Pure Sciences Vol. 8, no. 2 (Jun. 2018), pp.153-163.
https://search.emarefa.net/detail/BIM-891977
American Medical Association (AMA)
Ali, Shakir K.& Mutlaq, Wamidah K.. Breast cancer diagnosis using wavelet and fuzzy logic. Journal of College of Education for Pure Sciences. 2018. Vol. 8, no. 2, pp.153-163.
https://search.emarefa.net/detail/BIM-891977
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 163
Record ID
BIM-891977