Mammogram image visual enhancement, mass segmentation and classification

N Al-Najdawi, M Biltawi, S Tedmori - Applied Soft Computing, 2015 - Elsevier
Mammography is the most effective technique for breast cancer screening and detection of
abnormalities. However, early detection of breast cancer is dependent on both the …

[PDF][PDF] Mammogram enhancement and segmentation methods: classification, analysis, and evaluation

M Biltawi, N Al-Najdawi, S Tedmori - The 13th international Arab …, 2012 - researchgate.net
Breast cancer is the leading cause of deaths among female cancer patients. Mammography
is the most effective technique for breast cancer screening and detection of abnormalities …

Automatic tuning of MST segmentation of mammograms for registration and mass detection algorithms

M Bajger, F Ma, MJ Bottema - 2009 Digital Image Computing …, 2009 - ieeexplore.ieee.org
A technique utilizing an entropy measure is developed for automatically tuning the
segmentation of screening mammograms by minimum spanning trees (MST). The lack of …

Automatic mass segmentation based on adaptive pyramid and sublevel set analysis

F Ma, M Bajger, MJ Bottema - 2009 Digital Image Computing …, 2009 - ieeexplore.ieee.org
A method based on sublevel sets is presented for refining segmentation of screening
mammograms. Initial segmentation is provided by an adaptive pyramid (AP) scheme which …

Circular shape prior in efficient graph based image segmentation to segment nucleus

R Saha, M Bajger, G Lee - 2018 Digital Image Computing …, 2018 - ieeexplore.ieee.org
A graph based segmentation approach is proposed in this study to segment nucleus from
cytology images. This approach utilizes a novel method applying weighted circular shape …

Automatic tuning of a graph-based image segmentation method for digital mammography applications

H Susukida, F Ma, M Bajger - 2008 5th IEEE International …, 2008 - ieeexplore.ieee.org
Mammogram segmentation tasks underpin a wide range of registration, temporal analysis
and detection algorithms. Unfortunately, finding an accurate, robust and efficient …

Temporal analysis of mammograms based on graph matching

F Ma, M Bajger, MJ Bottema - … Workshop, IWDM 2008 Tucson, AZ, USA …, 2008 - Springer
A method is proposed for detecting masses in screening mammograms by analyzing
changes between current and previous mammograms. The method uses graph matching in …

A graph matching based automatic regional registration method for sequential mammogram analysis

F Ma, M Bajger, MJ Bottema - Medical Imaging 2008 …, 2008 - spiedigitallibrary.org
This paper presents a method for associating regions of sequential mammograms
automatically using graph matching. The graph matching utilises relative spatial …

A Genetic Association Study between Breast Cancer and Osteoporosis Using Transitive Text Mining

BH Cheng, HGG Vaka… - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
Breast cancer and osteoporosis are two most common diseases in postmenopausal women.
Both diseases are multi-factorial and involve complex interactions of many genes. Since it is …

[PDF][PDF] Mammogram image segmentation a short survey

S Chidambaranathan - … Journal of Emerging Technology in Computer …, 2014 - ijetcse.com
Breast cancer is one of the dreadful diseases that seriously affect women. It is proven that
this dreadful disease ends the life of one among ten women. Mammogram is an efficient …