[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123138-en":3,"doc-seo-123138-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},123138,7971461740886,"Theodore","https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2",8,"Research & Report","AUTOMATIC DETECTION OF CALCIFICATIONS IN BREAST CANCER DIAGNOSIS BASED ON MACHINE LEARNING CLASSIFIERS","Automatic Detection of Calcifications in Breast Cancer Diagnosis Based on Machine Learning Classifiers presents a dissertation focused on improving breast cancer diagnostic support through machine learning classification of calcifications. The work is conducted under the supervision of academic staff at Universiti Sains Malaysia during the period from October 2023 to June 2024. It documents authorship declarations, institutional certification of scholarly standards, and detailed acknowledgements for guidance and data collection support. The study is structured to address background context, problem statement, objectives, and subsequent research chapters.","AUTOMATIC DETECTION OF CALCIFICATIONS IN BREAST CANCER  \nDIAGNOSIS BASED ON MACHINE LEARNING CLASSIFIERS  \nFATINA HAM BINTI YAHYA HAM  \nSCHOOL OF HEALTH SCIENCES  \nUNIVERSITI SAINS MALAYSIA  \nAUTOMATIC DETECTION OF CALCIFICATIONS IN BREAST CANCER  \nDIAGNOSIS BASED ON MACHINE LEARNING CLASSIFIERS  \nby  \nFATINA HAM BINTI YAHYA HAM  \nDissertation submitted in partial fulfilment of the requirement for the degree of Bachelor of Health Sciences (Honours) (Medical Radiation)  \nCERTIFICATE  \nThis is to certify that the dissertation entitled “AUTOMATIC DETECTION OF CALCIFICATIONS IN BREAST CANCER DIAGNOSIS BASED ON MACHINE LEARNING CLASSIFIERS” is the bona fide record of research work done by FATINA HAM BINTI YAHYA HAM during the period from October 2023 to June 2024 under my supervision. I have read this dissertation and that in my opinion it conforms to acceptable standards of scholarly presentation and is fully adequate, in scope and quality, as a dissertation to be submitted in partial fulfilment for the degree of Bachelor of Health Science (Honours) (Medical Radiation) .  \nMain Supervisor:  \nMadam Siti Aishah Abd Aziz Senior Lecturer  \nSchool of Health Sciences Universiti Sains Malaysia Health Campus  \n16150 Kubang Kerian Kelantan, Malaysia  \nCo-Supervisor:  \nDr Rosniwati Ghafar Lecturer  \nSchool of Health Sciences Universiti Sains Malaysia Health Campus  \n16150 Kubang Kerian Kelantan, Malaysia  \nCo-Supervisor:  \nDr Lau Chiew Chea Lecturer  \nSchool of Medical Sciences Universiti Sains Malaysia Health Campus  \n16150 Kubang Kerian Kelantan, Malaysia  \nDate: June 2024  \nDECLARARTION  \nI, Fatina Ham Binti Yahya Ham hereby declare that the dissertation entitled “AUTOMATIC DETECTION OF CALCIFICATIONS IN BREAST CANCER DIAGNOSIS BASED ON MACHINE LEARNING CLASSIFIERS” is the result of my own investigations, except where otherwise stated and duly acknowledged. I also declare that it has not been previously or concurrently submitted as a whole for any other degrees at Universiti Sains Malaysia or other institutions. I grant Universiti Sains Malaysia the right to use the dissertation for teaching, research and promotional purposes.  \nFATINA HAM BINTI YAHYA HAM  \nDate: June 2024  \nACKNOWLEDGEMENT  \nIn the name of Allah S.W.T., the Most Gracious and the Most Merciful. All praise to Him for His blessings and for giving me the opportunity to complete the research project for my bachelor’s degree. This journey has been long and challenging, but it is an enjoyable phase of life that I will always remember. This report would not have been possible without the guidance and help of several individuals who contributed in various ways to the preparation and completion of my final year project. Special thanks to my parents, Yahya Ham Abdullah and Roslina Ismail, for their endless support in morals, beliefs, financial aid, and necessities needed for this thesis. I also extend my heartfelt thanks to my younger brothers, Fairil Ham Yahya Ham and Faikhil Ham Yahya Ham, for their significant help and support in the research process. My deepest gratitude tomy knowledgeable supervisor, Madam. Siti Aishah Abd Aziz, for her supervision over the two semesters of my study. Her constructive suggestions, advice, passion, and sincerity in helping her students excel are incomparable. I also greatly appreciate my co-supervisors, Dr. Rosniwati Ghafar and Dr. Lau Chiew Chea, for their invaluable help, especially during data collection, which would have been impossible without their support. I am deeply thankful to my fiancée, Muhammad Haiqal Ramli and close friends, Farahamizah Othman and Nurul Shazliana Mohamad Daud, for their unwavering love, emotional, financial, and mental support throughout this journey. Their assistance was invaluable, especially during stressful times and cherished moments. I could not have completed this study without them. Lastly, I cannot forget the contributions of everyone mentioned here. I am forever grateful for their presence and support th","cbCainv6waT8jpfO","https://ap.wps.com/l/cbCainv6waT8jpfO","pdf",557270,1,42,"English","en",105,"# Chapter 1\n## Background of the Study\n## Problem Statement\n## Objective","[{\"question\":\"What is the dissertation topic?\",\"answer\":\"The dissertation focuses on automatic detection of calcifications in breast cancer diagnosis using machine learning classifiers.\"},{\"question\":\"Who supervised the dissertation?\",\"answer\":\"The main supervisor is Madam Siti Aishah Abd Aziz, with co-supervisors Dr Rosniwati Ghafar and Dr Lau Chiew Chea.\"},{\"question\":\"When was the research conducted?\",\"answer\":\"The dissertation is stated to have been carried out from October 2023 to June 2024, with dates listed as June 2024.\"}]","AUTOMATIC DETECTION OF CALCIFICATIONS IN BREAST CANCER DIAGNOSIS BASED ON MACHINE LEARNING CLASSIFIERS | PDF",1785814816,106,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"automatic-detection-of-calcifications-in-breast-cancer-diagnosis-based-on-machine-learning-classifiers","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/automatic-detection-of-calcifications-in-breast-cancer-diagnosis-based-on-machine-learning-classifiers/123138/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the dissertation topic?","Question",{"text":75,"@type":76},"The dissertation focuses on automatic detection of calcifications in breast cancer diagnosis using machine learning classifiers.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Who supervised the dissertation?",{"text":80,"@type":76},"The main supervisor is Madam Siti Aishah Abd Aziz, with co-supervisors Dr Rosniwati Ghafar and Dr Lau Chiew Chea.",{"name":82,"@type":73,"acceptedAnswer":83},"When was the research conducted?",{"text":84,"@type":76},"The dissertation is stated to have been carried out from October 2023 to June 2024, with dates listed as June 2024.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]