MARC details
| 000 -LEADER |
| fixed length control field |
02415nam a2200265 a 4500 |
| 001 - CONTROL NUMBER |
| control field |
vtls000077148 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251114204611.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
140402t2012 my a f 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
THE0005977(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
| Level of rules in bibliographic description |
201905141632 |
| Level of effort used to assign nonsubject heading access points |
aida |
| Level of effort used to assign subject headings |
201404031540 |
| Level of effort used to assign classification |
training4 |
| Level of effort used to assign subject headings |
201404021104 |
| Level of effort used to assign classification |
training4 |
| Level of effort used to assign subject headings |
201404021056 |
| Level of effort used to assign classification |
training4 |
| -- |
201404021018 |
| -- |
training4 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TA1637 .N67 2012 rs Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Norlailah Lanisa |
| 245 10 - TITLE STATEMENT |
| Title |
Development of breast cancer detection system using digital image / |
| Statement of responsibility, etc. |
Norlailah Lanisa |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2012 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xv, 40 p. : |
| Other physical details |
ill. ; |
| Dimensions |
30 cm. + 1 CD-ROM |
| 502 ## - DISSERTATION NOTE |
| Dissertation note |
Project paper ( Bachelor of Electrical Engineering ( Electronics) ) -- Universiti Malaysia Pahang - 2012 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Bibilography : p. 33-34 |
| 520 3# - SUMMARY, ETC. |
| Summary, etc. |
Breast cancer is one of the most common cancer affecting women around the world. Mammography is the most known and effective method to detect early sign of breast cancer. However, due to some weaknesses in mammography such as painful procedures and radiation, researches introduce another diagnosis method which is by analysing thermal image. The purpose of this project is to design a system to detect the signs shown in mammogram and thermal image using Image Processing Technique applied to MATLAB. Image processing techniques can be divided into several elements. The elements are image acquisition, image preprocessing,image processing, feature extraction, object classification and classification decision. Both type of images then analyse step by step according to the elements. Mammogram images are analyse using morphology technique before features extraction which then lead to the classification of the image into 3 classes („Normal Fatty breast‟, „Abnormal Fatty breast‟ and „Glandular breast). For thermal image, the distribution of heat around the breast will be the features extracted and analysed. The different range of heat in the image will be used to specify the possible area of cancer. This project also includes the construction of Graphical User Interface (GUI) so that the system is more users friendly. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Detection system |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Breast |
| General subdivision |
Radiography |
| -- |
Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Radiography, Medical |
| General subdivision |
Digital techniques |