Diagnosis lung samples by fuzzy logic
Author
Source
Iraqi Journal for Information Technology
Issue
Vol. 8, Issue 4 (30 Sep. 2018), pp.182-197, 16 p.
Publisher
Iraqi Association of Information Technology
Publication Date
2018-09-30
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Lung cancer take into account the most famous eventful cancers in the whole world, with the small number of who will be saved after doctors individuate, with gradual growth in number of deaths every day.
Lung cancer is cause due to uncontrolled increases of abnormal cells in one or both lungs.
The best way to protection from this danger disease is to detect it early, the early detection gives higher chance of successful treatments.
The recognition of lung cancer in early stage is difficult because the cancer cells cause much dangerous effect due to their overlapped structure.
In this study we proposed a diagnosis system to detect lung cancer based on stages of feature extraction from the image, this stage uses a significant techniques and algorithms to excommunication multiple desired portions or form (features) of the image and use this features as input to fuzzy logic to classify the normal and abnormal images.
American Psychological Association (APA)
Salah, Shayma Khudayr. 2018. Diagnosis lung samples by fuzzy logic. Iraqi Journal for Information Technology،Vol. 8, no. 4, pp.182-197.
https://search.emarefa.net/detail/BIM-922744
Modern Language Association (MLA)
Salah, Shayma Khudayr. Diagnosis lung samples by fuzzy logic. Iraqi Journal for Information Technology Vol. 8, no. 4 (2018), pp.182-197.
https://search.emarefa.net/detail/BIM-922744
American Medical Association (AMA)
Salah, Shayma Khudayr. Diagnosis lung samples by fuzzy logic. Iraqi Journal for Information Technology. 2018. Vol. 8, no. 4, pp.182-197.
https://search.emarefa.net/detail/BIM-922744
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-922744