A mass detection algorithm for mammogram images /

Yeşilkaya, Muhammed
Breast cancer is the most common cancer type encountered among woman in the world and causes many deaths. In order to prevent mastectomies, decrease the probability of return and reduce mortality, early detection of cancer lesion is crucial. Mammography is a frequently used screening technique to detect and diagnose lesions. However, sometimes it is difficult for radiologists to see and diagnose lesions due to low contrast of mammograms. Computer Aided Detection / Diagnosis (CAD / CADx) systems have been developed to help radiologists. In this thesis, we propose a method for classification of mass regions in MLO (Mediolateral oblique) view mammograms. The suspicious regions are first determined by Iris filtering with variable window sizes applied on the breast region without pectoral muscle. Then classification is applied to textural features obtained using Gabor filter applied on these suspicious regions. We reduced false detection ratio nearly 50 percent with a cost of missing 9 percent of true mass regions with classification. For pectoral muscle region determination a novel algorithm is also proposed. This algorithm is based on average derivative calculation and line fitting with least square solution. Our algorithm outperforms other algorithms given in the literature in terms of FP (False positive) pixel percentage and FN (False negative) pixel percentage metrics.


Application of image enhancement algorithms to improve the visibility and classification of microcalcifications in mammograms
Akbay, Cansu; Gençer, Nevzat Güneri; Gençer, Gülay; Department of Biomedical Engineering (2015)
Breast cancer is the second leading cause of cancer deaths for women. Mammography is the most effective technology presently available for breast cancer screening, despite the fact that there are still some limitations of the imaging technique, such as insufficient resolution, low local contrast and noise combined with the subtle nature of the usual radiographic findings. One of the most important radiographic findings associated to the existence of breast cancer is the clustered microcalcifications. Especi...
Design for positive breast self-examination experience: an investigation into mobile health apps
Karadeniz Küçük, Aylin; Şener Pedgley, Bahar; Department of Industrial Design (2021-5)
Breast cancer is one of the most common cancer types among women, responsible for approximately 627,000 deaths globally in 2018. There are various screening methods to detect cancer early, and experts suggest that women should perform breast self-examination (BSE) once a month. Unfortunately, most women fail to do so even if they are aware of the risks and the importance of screening methods. Moreover, developments in technology provide people to manage their own health in their own environments with variou...
Cell-surface interactions in a breast cancer model
Antmen, Ezgi; Hasırcı, Vasıf Nejat; Demirci, Utkan; Department of Biotechnology (2017)
Breast cancer, is one of the most commonly diagnosed cancers, has a high mortality rate. One in every eight women (12.3%) develops breast cancer at some stage of their lives and this is the cause of about 15% of cancer deaths in women and 3% of total deaths. It is therefore important to study the behavior of breast cancer cells. Measurement of the mechanical properties of cancer cells leads to new insights such as that cancer cells are softer than healthy cells. Also, metastatic cancer cells were found to b...
Medical electro-thermal imaging
Carlak, Hamza Feza; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2012)
Breast cancer is the most crucial cancer type among all other cancer types. There are many imaging techniques used to screen breast carcinoma. These are mammography, ultrasound, computed tomography, magnetic resonance imaging, infrared imaging, positron emission tomography and electrical impedance tomography. However, there is no gold standard in breast carcinoma diagnosis. The object of this study is to create a hybrid system that uses thermal and electrical imaging methods together for breast cancer diagn...
Preparation and characterization of poly(d,l-lactide-co-glycolide) microspheres for controlled release of anticancer drugs
Eyövge, Gökçen; Gündüz, Ufuk; Department of Biotechnology (2005)
Breast cancer is the most frequent type of cancer seen in woman. Chemotherapy is one of the most important treatments for breast cancer. However, systemic toxicity, drug resistance and unstable kinetics of the drug in the blood are serious problems of chemotherapy. The use of biodegradable polymers for controlled release of anticancer drugs has gained popularity in recent years. Controlled release of anticancer drugs from polymeric carriers has some advantages such as improvement in the efficiency of treatm...
Citation Formats
M. Yeşilkaya, “A mass detection algorithm for mammogram images /,” M.S. - Master of Science, Middle East Technical University, 2014.