Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images
نویسندگان
چکیده
منابع مشابه
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images
Breast cancer is already one of the most common form of cancer worldwide. Mammography image analysis is still the most effective diagnostic method to promote the early detection of breast cancer. Accurately segmenting tumors in digital mammography images is important to improve diagnosis capabilities of health specialists and avoid misdiagnosis. In this work, we evaluate the feasibility of appl...
متن کاملSemi-supervised segmentation of images
Segmentation of patterns in images is usually based on the processing chain ”segmentation – feature extraction – classification”. It will be described, how for an arbitrary application an automatic processing stream can be generated with an initial feed back from an expert. The core of this new method is an automatic generator of optimized classifications and an example based interactive featur...
متن کاملA semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images
According to the World Health Organization, breast cancer is the most common form of cancer in women. It is the second leading cause of death among women round the world, becoming the most fatal form of cancer. Despite the existence of several imaging techniques useful to aid at the diagnosis of breast cancer, x-ray mammography is still the most used and effective imaging technology. Consequent...
متن کاملComposite Kernel Optimization in Semi-Supervised Metric
Machine-learning solutions to classification, clustering and matching problems critically depend on the adopted metric, which in the past was selected heuristically. In the last decade, it has been demonstrated that an appropriate metric can be learnt from data, resulting in superior performance as compared with traditional metrics. This has recently stimulated a considerable interest in the to...
متن کاملTransferable Semi-supervised Semantic Segmentation
The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations. However, even the largest public datasets only provide samples with pixel-level annotations for rather limited semantic categories. Such data scarcity critically limits scalability and applicability of semantic segmentation models in real applications. In this paper, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
سال: 2017
ISSN: 2168-1163,2168-1171
DOI: 10.1080/21681163.2015.1127775