Výsledky vyhledávání - "Nafiza Saidin"

Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts

Autor: Harsa Amylia Mat Sakim, Umi Kalthum Ngah, Nafiza Saidin, Ibrahim Lutfi Shuaib

Publikováno v: Computational and Mathematical Methods in Medicine, Vol 2013 (2013)
Computational and Mathematical Methods in Medicine

Breast cancer mostly arises from the glandular (dense) region of the breast. Consequently, breast density has been found to be a strong indicator for breast cancer risk. Therefore, there is a need to develop a system which can segment or classify den

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cba3d4486082c16af7ea30e80b4921ef
https://doi.org/10.1155/2013/205384

Zobrazit plný text záznamu

The graph cuts technique, breast density and abnormality detection

Autor: Umi Kalthum Ngah, Nafiza Saidin, Harsa Amylia Mat Sakim, Ibrahim Lutfi Shuaib

Publikováno v: BHI

The presence of density part of breast tissues is one of the signs considered by radiologists to determine whether a suspicious area is a tumor or cancer. The focus of this research is for the segmentation of dense area with regards to the breast ana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0acaae1d8268105c26340b7571b6639a
https://doi.org/10.1109/bhi.2012.6211588

Zobrazit plný text záznamu

Performance Evaluation of Density Based Graph Cuts Segmentation Technique of Mammograms

Autor: Ibrahim Lutfi Shuaib, Umi Khaltum Ngah, Nafiza Saidin, Harsa Amylia Mat Sakim

Publikováno v: Informatics Engineering and Information Science ISBN: 9783642254529

This paper involves the study of density based segmentation of mammograms using the graph cut technique. The focus of this research is for the segmentation of the dense area with regards to the breast anatomical structure for visualization, such as l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f60f5aa888e7cf257a617e67734b1248
https://doi.org/10.1007/978-3-642-25453-6_10

Zobrazit plný text záznamu

Density Based Breast Segmentation for Mammograms Using Graph Cut and Seed Based Region Growing Techniques

Autor: Ibrahim Lutfi Shuaib, Umi Kalthum Ngah, Ding Nik Siong, Nafiza Saidin, Mok Kim Hoe, Harsa Amylia Mat Sakim

Publikováno v: 2010 Second International Conference on Computer Research and Development.

In this work we explore the application of graph cuts and seed based region growing (SBRG) techniques to segment and detect the boundary of different breast tissue regions in mammograms. The graph cut (GC) is applied with multiselection of seed label

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a1f86992e62d043e8d5371775615ee14
https://doi.org/10.1109/iccrd.2010.87

Zobrazit plný text záznamu

Density based breast segmentation for mammograms using graph cut techniques

Autor: Mok Kim Hoe, Nafiza Saidin, Ding Nik Siong, Umi Kalthum Ngah, Harsa Amylia Mat Sakim

Publikováno v: TENCON 2009 - 2009 IEEE Region 10 Conference.

In this work we explore the application of graph cuts techniques to the problem of finding the boundary of different breast tissue regions in mammograms. The goal of the segmentation algorithm is to see if graph cuts algorithm could separate differen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ea263d67f2de4af3e38642bf0425a6e
https://doi.org/10.1109/tencon.2009.5396042

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání