Cassification of breast tumor based on ultrasound images / (Record no. 2976)

MARC details
000 -LEADER
fixed length control field 02508nam a2200241 a 4500
001 - CONTROL NUMBER
control field vtls000057358
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204507.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111213t2009 my a f m 000 0 eng dd
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0003987(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905150925
Level of effort used to assign nonsubject heading access points fauzi
-- 201112131539
-- Fida
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) TP156.E8 D48 2009 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Devendran Pillai Perumal
245 10 - TITLE STATEMENT
Title Cassification of breast tumor based on ultrasound images /
Statement of responsibility, etc. Devendran Pillai Perumal
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2009
300 ## - PHYSICAL DESCRIPTION
Extent xii, 45 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 computer disc
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Chemical Engineering (Biotechnology)) -- Universiti Malaysia Pahang - 2009
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 39-40
520 3# - SUMMARY, ETC.
Summary, etc. This research primarily focuses on the predictive technology of identifying the state of tumors in the breast tissues. In breast cancer diagnosis, patients are forced to undergo a series of biopsies just to identify and confirm on the state of tumor, as whether malignant or benign. In this research however, an algorithm will be developed using MATLAB Image Processing Toolbox to indentify the state of a tumor solely based on ultrasound images. Ultrasound images of breast tumors are imported into MATLAB and are passed through a set of filters to remove background noise. Next, the filtered images are run through a set of edge detection algorithms which identifies and defines the region of interest. The processed images are analyzed qualitatively and the following results are obtained; the analysis shows that malignant tumors have well defined boundaries while benign tumors have poorly defined boundaries. To test this theory, the algorithm is used to process another set of ultrasound images of unknown characteristics. The results were analyzed and classified into two groups; malignant and benign. The results are compared with the actual biopsy results from the IIUM Breast Cancer Research Institute, Kuantan and all the analyzed results matched the biopsy results. As a recommendation to improve this study, a quantitative analysis on the ultrasound images is carried out so that more accurate results can be obtained. If the development of this algorithm is proven to be a success, it would be used in every hospital throughout the country to diagnose patients with breast cancer.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Breast
General subdivision Ultrasonic imaging
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   TP156.E8 D48 2009 rs Bc. 0000060288 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 5532 | TP156.E8 D48 2009 rs Bc. 0000060289 04/09/2019 1 04/09/2019 Final Year Report

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