PPT-Evaluation Functions Segmentation Mammography Meepaganithage

1 Evaluation of Loss Functions for Segmentation of Mammography ImagesChristopher CollumAyesh Meepaganithage2 IntroductionOur goal is to evaluate the performance of different loss functions on image segmentation tasks in mammogramsWe are utilizing. Varun. . Gulshan. †. , . Carsten. Rother. ‡. , Antonio . Criminisi. ‡. , Andrew Blake. ‡. and Andrew . Zisserman. †. . 1. Star-convexity. †. Visual . Geometry Group, University of . Oxford, UK . - continuous and discrete approaches . 2 : . Exact . and approximate techniques. . - non-submodular and high-order problems. 3: Multi-region segmentation (Milan). - high-dimensional applications . 6. Objectives. Explain STP Process. Segmentation Bases. Target Segment Criteria. Elements of Effective Positioning. Creating Brand Value/Equity. STP Marketing & the Evolution of Marketing Strategy. Sungsu. Lim. AALAB, KAIST. Image Segmentation. Computer vision. : make machine to see or to understand/ . interpret . the scenes (images & videos) like human do.. Image segmentation. is one of the most challenging issues in computer vision.. Chapter Objectives. After . reading this chapter you should be able . to:. Appreciate . the importance of market segmentation for specific consumer groups and realize that the targeting decision is the initial and most fundamental of all . Dingding. Liu * . Kari . Pulli † . Linda . Shapiro * . Yingen. . Xiong. † . † . Nokia . Research. Center, Palo Alto, CA 94304, USA. *Dept. Elect. Eng., University of Washington, WA 98095, USA. Gaelyn Scuderi, M.D.. Diagnostic Radiologist. Breast Imaging and Intervention. Disclosures:. I have no disclosures or conflicts of interest related to this presentation.. Objectives. Summarize . the current controversies surrounding screening mammography. Fact 1:. 40. % of women have dense . breasts. . RESULT: . Current 2D mammography makes it difficult . to detect . cancers in dense breast tissue because both appear white in the image.. Source: http. Kaushik . Nandan. 1. Contents:. Introduction. Related . Work. Segmentation as Selective . Search. Object Recognition . System. Evaluation. Conclusions. References. 2. 1. Introduction. Object recognition: determining . Mammography Quality Standards Act (MQSA). “. to ensure the safety and reliability of mammography and help detect breast cancer in its earliest, most treatable stages. ”. Mammography practice under federal control (FDA). Mammgraphy is a radiographic modality to detect breast pathology and cancer.. Breast cancer accounts for 32% of cancer incidence and 18% of cancer deaths in women in the United States.. Approximately 1 in 8 or 9 women in the US will develop breast cancer over her lifetime.. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING National Institutes of Health www.nibib.nih.gov NIH... Turning Discovery Into Health July 2013 What is a mammagrom? Mammography is an x-ra The . Basics of the . Mammography . Quality Standards Act. Helen J. Barr, MD. Director, Division of Mammography Quality Standards. Center for Devices and Radiological Health. Food and Drug Administration. prenticeship3. A Partnership4. IntroductionTrailblazer Group developed to provide an additional training pathway at Level 4 Apprenticeship to support delivery of breast screening in England. This new route will enable the development of a...