عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL48973
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Microcalcifications Detection Using Image and Signal Processing Techniques for Early Detection of Breast Cancer
General Material Designation
[Thesis]
First Statement of Responsibility
Md Shafiul Islam
Subsequent Statement of Responsibility
Kaabouch, Naima
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The University of North Dakota
Date of Publication, Distribution, etc.
2016
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
99
GENERAL NOTES
Text of Note
Committee members: Collings, John; Faruque, Saleh; Hu, Wen-Chen; Mann, Michael
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-369-18293-4
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Discipline of degree
Electrical Engineering
Body granting the degree
The University of North Dakota
Text preceding or following the note
2016
SUMMARY OR ABSTRACT
Text of Note
Breast cancer has transformed into a severe health problem around the world. Early diagnosis is an important factor to survive this disease. The earliest detection signs of potential breast cancer that is distinguishable by current screening techniques are the presence of microcalcifications (MCs). MCs are small crystals of calcium apatite and their normal size ranges from 0.1mm to 0.5mm single crystals to groups up to a few centimeters in diameter. They are the first indication of breast cancer in more than 40% of all breast cancer cases, making their diagnosis critical. This dissertation proposes several segmentation techniques for detecting and isolating point microcalcifications: Otsu's Method, Balanced Histogram Thresholding, Iterative Method, Maximum Entropy, Moment Preserving, and Genetic Algorithm. These methods were applied to medical images to detect microcalcifications. In this dissertation, results from the application of these techniques are presented and their efficiency for early detection of breast cancer is explained. This dissertation also explains theories and algorithms related to these techniques that can be used for breast cancer detection.
TOPICAL NAME USED AS SUBJECT
Electrical engineering
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Breast;Cancer;Detection;Microcalcifications
PERSONAL NAME - PRIMARY RESPONSIBILITY
Pakdil, Sumeyye
PERSONAL NAME - SECONDARY RESPONSIBILITY
Kaabouch, Naima
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Subdivision
Electrical Engineering
The University of North Dakota
LOCATION AND CALL NUMBER
Call Number
1830769067; 10163602
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
